US20060244948A1 - Systems and methods for validating a security feature of an object - Google Patents

Systems and methods for validating a security feature of an object Download PDF

Info

Publication number
US20060244948A1
US20060244948A1 US11/403,334 US40333406A US2006244948A1 US 20060244948 A1 US20060244948 A1 US 20060244948A1 US 40333406 A US40333406 A US 40333406A US 2006244948 A1 US2006244948 A1 US 2006244948A1
Authority
US
United States
Prior art keywords
light
security feature
line
illuminating
illumination condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US11/403,334
Inventor
James Overbeck
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
X Rite Inc
Original Assignee
X Rite Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by X Rite Inc filed Critical X Rite Inc
Priority to US11/403,334 priority Critical patent/US20060244948A1/en
Assigned to X-RITE, INCORPORATED reassignment X-RITE, INCORPORATED ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: OVERBECK, JAMES L.
Assigned to GOLDMAN SACHS CREDIT PARTNERS L.P. reassignment GOLDMAN SACHS CREDIT PARTNERS L.P. PATENT SECURITY AGREEMENT (SECOND LIEN)--SUPPLEMENTAL IP Assignors: X-RITE, INCORPORATED
Assigned to FIFTH THIRD BANK reassignment FIFTH THIRD BANK PATENT SECURITY AGREEMENT (FIRST LIEN) -- SUPPLEMENTAL IP Assignors: X-RITE, INCORPORATED
Publication of US20060244948A1 publication Critical patent/US20060244948A1/en
Assigned to FIFTH THIRD BANK, A MICHIGAN BANKING CORPORATION, AS COLLATERAL AGENT reassignment FIFTH THIRD BANK, A MICHIGAN BANKING CORPORATION, AS COLLATERAL AGENT SECURITY AGREEMENT Assignors: GRETAGMACBETH LLC, MONACO ACQUISITION COMPANY, OTP, INCORPORATED, PANTONE, INC., X-RITE GLOBAL, INCORPORATED, X-RITE HOLDINGS, INC., X-RITE, INCORPORATED
Assigned to THE BANK OF NEW YORK, AS COLLATERAL AGENT reassignment THE BANK OF NEW YORK, AS COLLATERAL AGENT PATENT SECURITY AGREEMENT (SECOND LIEN) Assignors: X-RITE, INCORPORATED
Assigned to X-RITE, INCORPORATED, X-RITE GLOBAL, INCORPORATED, OTP, INCORPORATED, X-RITE HOLDINGS, INC., PANTONE, INC., MONACO ACQUISITION COMPANY, GRETAGMACBETH, LLC reassignment X-RITE, INCORPORATED RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: THE BANK OF NEW YORK MELLON, AS AGENT
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G01J3/50Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G01J3/50Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
    • G01J3/501Colorimeters using spectrally-selective light sources, e.g. LEDs
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6428Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
    • G01N21/643Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" non-biological material
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B27/00Photographic printing apparatus
    • G03B27/72Controlling or varying light intensity, spectral composition, or exposure time in photographic printing apparatus
    • G03B27/80Controlling or varying light intensity, spectral composition, or exposure time in photographic printing apparatus in dependence upon automatic analysis of the original
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/80Recognising image objects characterised by unique random patterns
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47Scattering, i.e. diffuse reflection
    • G01N21/4738Diffuse reflection, e.g. also for testing fluids, fibrous materials
    • G01N21/474Details of optical heads therefor, e.g. using optical fibres
    • G01N2021/4742Details of optical heads therefor, e.g. using optical fibres comprising optical fibres
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/55Specular reflectivity
    • G01N21/57Measuring gloss
    • G01N2021/575Photogoniometering
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6428Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
    • G01N2021/6439Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" with indicators, stains, dyes, tags, labels, marks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/645Specially adapted constructive features of fluorimeters
    • G01N2021/6484Optical fibres
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/06Illumination; Optics
    • G01N2201/062LED's
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/06Illumination; Optics
    • G01N2201/063Illuminating optical parts
    • G01N2201/0633Directed, collimated illumination

Definitions

  • This application discloses an invention that is related, generally and in various embodiments, to systems and methods for validating a security feature of an object.
  • metallic or pearlescent inks are commonly utilized for providing a security feature of an object.
  • Metallic or pearlescent inks have properties where their color and appearance change with the illumination angle.
  • most print measurement systems are unable to accurately and consistently determine the presence of the metallic or pearlescent inks because the systems only illuminate at a single illumination angle.
  • instruments known as goniospectrophotometers are utilized to measure the average value of metallic or pearlescent pigments across a spot of an automotive finish, such spot measuring instruments are unable to effectively measure the complex patterns present in most security features.
  • fluorescent materials or markings In the printing industry, it is also common to utilize fluorescent materials or markings to provide a security feature of an object. When the fluorescent materials or markings are illuminated with UV light, the materials or markings emit light at a wavelength that is longer than the wavelength of the incident UV light. In general, most print measurement systems are unable to accurately and consistently determine the presence of the fluorescent materials or markings because the systems only illuminate with light in the visible spectrum.
  • this application discloses a method for validating a security feature of an object.
  • the method comprises measuring spectral data of the object under a first illumination condition and a second illumination condition.
  • the second illumination condition is different than the first illumination condition.
  • the method also comprises determining a presence of the security feature based on the spectral data measured under each illumination condition, and comparing the security feature to a standard.
  • this application discloses a system for validating a security feature of an object.
  • the system comprises at least two illumination sources, a line scanning spectrophotometer, a determination module for determining a presence of a security feature of the object, and a comparator module for comparing the security feature to a standard.
  • Each illumination source is oriented at a different angle.
  • aspects of the disclosed invention may be implemented by a computer system and/or by a computer program stored on a computer readable medium.
  • the computer readable medium may comprise a disk, a device, and/or a propagated signal.
  • FIG. 1 illustrates various embodiments of a method for validating a security feature of an object
  • FIG. 2 illustrates various embodiments of a system for validating a security feature of an object.
  • FIG. 1 illustrates various embodiments of a method 10 for validating a security feature of an object.
  • the security feature may be located on any portion of the object, may be of any size and shape, may include any number of colors, and may form any number of different patterns.
  • the method may be utilized, for example, to validate printed pearlescent and metallic ink security signatures, and other metallic or pearlescent materials such as sheet films or solid printed areas.
  • the method may also be utilized, for example, to validate fluorescent material in the object or fluorescent markings on the object that serve as security features of an object.
  • the method starts at block 12 , where spectral data of the object is measured under at least two different illumination conditions.
  • the measurements may be taken with any suitable measuring instrument.
  • the measurements may be taken with a line scanning spectrophotometer.
  • a first illumination condition may comprise illuminating the object with a first line of collimated light at a first angle relative to an angle of detection.
  • a second illumination condition may comprise illuminating the object with a second line of collimated light at a second angle relative to the angle of detection, wherein the second angle is different than the first angle.
  • the first angle may be 15 degrees off the detection angle
  • the second angle may be 45 degrees off the detection angle.
  • a third illumination condition may comprise illuminating the object with a third line of collimated light at a third angle relative to an angle of detection, wherein the third angle is different than the first and second angles.
  • the first angle may be 25 degrees off an opposing projection of the detection angle
  • the second angle may be 45 degrees off the opposing projection of the detection angle
  • the third angle may be 75 degrees off the opposing projection of the detection angle.
  • At least one of the illumination conditions may comprise illuminating the object with a line of UV rich light. Illuminating the object with UV rich light allows for the measurement of any fluorescent content or markings. From the foregoing, one skilled in the art will appreciate that the object may be measured under any number of different illuminations conditions, and that any number of geometries (incident angle combinations relative to the detection angle) may be utilized.
  • a presence of the security feature of the object is determined.
  • the determination is based on the spectral data measured under each illumination condition.
  • metallic and pearlescent inks scatter or reorient light in ways that are very different from many materials such as, for example, paper, pigments, standard inks, etc.
  • the pixels showing a color change over angle may be readily identified.
  • fluorescent material or markings also re-emit incident light in a way that is very different from many materials, the pixels showing fluorescence may be readily identified. Therefore, the presence of the security feature may be determined by utilizing the pixel information of the image of the object to identify the presence of a metallic ink, a pearlescent ink, a fluorescent marking, etc.
  • the security feature may be determined.
  • the presence of the security feature may be determined by a simple determination algorithm that analyzes the spectral data obtained at block 12 .
  • the process advances to block 16 , where the security feature is compared to a standard.
  • the position and color of the pixels identified as metallic ink pixels may be compared to the desired position and color as defined by a particular quality standard.
  • the placement or patterning of the metallic ink pixels may also be compared to the desired placement or patterning as defined by the particular standard. If the position, color, and placement or patterning of the pixels identified as metallic ink pixels are each within prespecified tolerances as defined by the particular standard, the security feature will be validated.
  • the process described at block 16 will be the same but the standards may vary.
  • the validation of the security feature may be determined by a simple comparison algorithm that compares the location, color, shape, pattern, etc. of the imaged security feature to a given standard. The validation may be communicated in any suitable manner.
  • FIG. 2 illustrates various embodiments of a system 40 for validating a security feature of an object.
  • one or more elements of the system 40 may perform the method 10 as described above.
  • the system 40 comprises at least two different illumination sources 42 , a measuring instrument 44 , a processor 46 , a memory 48 , a determination module 50 , and a comparator module 52 .
  • one or more of the illumination sources 42 , the processor 46 , the memory 48 , the determination module 50 , and the comparator module 52 may comprise a portion of the measuring instrument 44 .
  • one or more of the illumination sources 42 , the processor 46 , the memory 48 , the determination module 50 , and the comparator module 52 may be separate and apart from the measuring instrument 44 . For example, as shown in FIG.
  • the processor 46 may be in wired or wireless communication with the measuring instrument 44
  • the memory 48 , the determination module 50 , and the comparator module 52 may be in wired or wireless communication with the processor 46 .
  • some system components may communicate with other system components in a different manner.
  • the illuminating sources 42 may each project a line of collimated light, and at least one of the illuminating sources may project a line of light that comprises UV rich light.
  • each illuminating source 42 may comprise one or more light emitting diodes (LEDs), and a reflector, lens, or combination of both to collimate the light for each LED.
  • Each illuminating source 42 may also comprise a light guide for conveying the collimated light to the object.
  • the measuring instrument 44 may be any measuring unit suitable for measuring spectral data of an object.
  • the measuring instrument is a line scanning spectrophotometer.
  • the memory 48 may be any type of memory suitable for storing data.
  • the determination module 50 may be configured to determine the presence of a security feature of the object. As described above, the determination utilizes the spectral data measured under each illumination condition to determine the presence of the security feature.
  • the comparator module 52 may be configured to compare the security feature to a standard. As described above, the comparison utilizes the determined location, color, shape, pattern, etc. of the imaged security feature to compare the security feature to a given standard.
  • each of the modules 50 , 52 may be implemented as software applications, computer programs, etc. utilizing any suitable computer language (e.g., C, C++, Delphi, Java, JavaScript, Perl, Visual Basic, VBScript, etc.) and may be embodied permanently or temporarily in any type of machine, component, physical or virtual equipment, storage medium, or propagated signal capable of delivering instructions to a device.
  • the software code may be stored as a series of instructions or commands on a computer-readable medium such that when the processor 46 reads the medium, the functions described herein are performed.
  • computer-readable medium may include, for example, magnetic and optical memory devices such as diskettes, compact discs of both read-only and writeable varieties, optical disk drives, and hard disk drives.
  • a computer-readable medium may also include memory storage that can be physical, virtual, permanent, temporary, semi-permanent and/or semi-temporary.
  • a computer-readable medium may further include one or more propagated signals, and such propagated signals may or may not be transmitted on one or more carrier waves.
  • modules 50 , 52 are shown in FIG. 2 as two separate modules, one skilled in the art will appreciate that the functionality of the modules 50 , 52 may be combined into a single module. Also, although the modules 50 , 52 are shown as being part of a common system 40 , the modules 50 , 52 may be installed on separate, distinct systems that are in wired or wireless communication with one another. For example, for embodiments where one or more of the modules 50 , 52 are installed on separate distinct systems, the modules may be in communication with one another via a network (not shown). Such a network may include any type of delivery system including, but not limited to, a local area network (e.g., Ethernet), a wide area network (e.g.
  • a telephone network e.g., analog, digital, wired, wireless, PSTN, ISDN, GSM, GPRS, and/or XDSL
  • a packet-switched network e.g., a radio network, a television network, a cable network, a satellite network, and/or any other wired or wireless communications network configured to carry data.
  • a network may also include elements, such as, for example, intermediate nodes, proxy servers, routers, switches, and adapters configured to direct and/or deliver data.

Abstract

A method for validating a security feature of an object. The method includes measuring spectral data of the object under a first illumination condition and a second illumination condition. The second illumination condition is different than the first illumination condition. The method also includes determining a presence of the security feature based on the spectral data measured under each illumination condition, and comparing the security feature to a standard.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims the priority benefit of U.S. Provisional Patent Application No. 60/670,407, filed on Apr. 12, 2005.
  • BACKGROUND
  • This application discloses an invention that is related, generally and in various embodiments, to systems and methods for validating a security feature of an object.
  • Throughout the world, more and more security features are being added to objects such as currency, documents, product identification labels, etc. to guard against abuses such as counterfeiting, fraud, etc. To be most effective in preventing such abuses, it is important for each security feature to consistently meet a given quality standard. Therefore, for quality control purposes, it is important to be able to measure such security features at the point of production to ensure that the security features are correctly produced and meet or exceed the given quality standard.
  • In the printing industry, metallic or pearlescent inks are commonly utilized for providing a security feature of an object. Metallic or pearlescent inks have properties where their color and appearance change with the illumination angle. In general, most print measurement systems are unable to accurately and consistently determine the presence of the metallic or pearlescent inks because the systems only illuminate at a single illumination angle. Although instruments known as goniospectrophotometers are utilized to measure the average value of metallic or pearlescent pigments across a spot of an automotive finish, such spot measuring instruments are unable to effectively measure the complex patterns present in most security features.
  • In the printing industry, it is also common to utilize fluorescent materials or markings to provide a security feature of an object. When the fluorescent materials or markings are illuminated with UV light, the materials or markings emit light at a wavelength that is longer than the wavelength of the incident UV light. In general, most print measurement systems are unable to accurately and consistently determine the presence of the fluorescent materials or markings because the systems only illuminate with light in the visible spectrum.
  • SUMMARY
  • In one general respect, this application discloses a method for validating a security feature of an object. According to various embodiments, the method comprises measuring spectral data of the object under a first illumination condition and a second illumination condition. The second illumination condition is different than the first illumination condition. The method also comprises determining a presence of the security feature based on the spectral data measured under each illumination condition, and comparing the security feature to a standard.
  • In another general respect, this application discloses a system for validating a security feature of an object. According to various embodiments, the system comprises at least two illumination sources, a line scanning spectrophotometer, a determination module for determining a presence of a security feature of the object, and a comparator module for comparing the security feature to a standard. Each illumination source is oriented at a different angle.
  • Aspects of the disclosed invention may be implemented by a computer system and/or by a computer program stored on a computer readable medium. The computer readable medium may comprise a disk, a device, and/or a propagated signal.
  • Other features and advantages will be apparent from the following description, including the drawings, and from the claims.
  • DESCRIPTION OF THE DRAWINGS
  • FIG. 1 illustrates various embodiments of a method for validating a security feature of an object; and
  • FIG. 2 illustrates various embodiments of a system for validating a security feature of an object.
  • DETAILED DESCRIPTION
  • The figures and descriptions of the disclosed invention have been simplified to illustrate elements that are relevant for a clear understanding of the disclosed invention. It should be understood that the methods, products, and systems described below may include various other processes, components, and elements in actual implementation.
  • FIG. 1 illustrates various embodiments of a method 10 for validating a security feature of an object. The security feature may be located on any portion of the object, may be of any size and shape, may include any number of colors, and may form any number of different patterns. The method may be utilized, for example, to validate printed pearlescent and metallic ink security signatures, and other metallic or pearlescent materials such as sheet films or solid printed areas. The method may also be utilized, for example, to validate fluorescent material in the object or fluorescent markings on the object that serve as security features of an object.
  • The method starts at block 12, where spectral data of the object is measured under at least two different illumination conditions. The measurements may be taken with any suitable measuring instrument. For example, the measurements may be taken with a line scanning spectrophotometer. A first illumination condition may comprise illuminating the object with a first line of collimated light at a first angle relative to an angle of detection. Similarly, a second illumination condition may comprise illuminating the object with a second line of collimated light at a second angle relative to the angle of detection, wherein the second angle is different than the first angle. For example, when light reflected from the object is measured at a detection angle normal to a surface of the object, the first angle may be 15 degrees off the detection angle, and the second angle may be 45 degrees off the detection angle.
  • According to various embodiments, a third illumination condition may comprise illuminating the object with a third line of collimated light at a third angle relative to an angle of detection, wherein the third angle is different than the first and second angles. For example, when light reflected from the object is measured at a detection angle 45 degrees off a normal of a surface of the object, the first angle may be 25 degrees off an opposing projection of the detection angle, the second angle may be 45 degrees off the opposing projection of the detection angle, and the third angle may be 75 degrees off the opposing projection of the detection angle.
  • According to various embodiments, at least one of the illumination conditions may comprise illuminating the object with a line of UV rich light. Illuminating the object with UV rich light allows for the measurement of any fluorescent content or markings. From the foregoing, one skilled in the art will appreciate that the object may be measured under any number of different illuminations conditions, and that any number of geometries (incident angle combinations relative to the detection angle) may be utilized.
  • From block 12, the method advances to block 14, where a presence of the security feature of the object is determined. The determination is based on the spectral data measured under each illumination condition. As metallic and pearlescent inks scatter or reorient light in ways that are very different from many materials such as, for example, paper, pigments, standard inks, etc., the pixels showing a color change over angle may be readily identified. Also, as fluorescent material or markings also re-emit incident light in a way that is very different from many materials, the pixels showing fluorescence may be readily identified. Therefore, the presence of the security feature may be determined by utilizing the pixel information of the image of the object to identify the presence of a metallic ink, a pearlescent ink, a fluorescent marking, etc. on the object or a fluorescent material in the object. Once all pixels showing fluorescence and/or color changes over angle are identified, the location, shape, color, pattern, etc. of the security feature may be determined. The presence of the security feature may be determined by a simple determination algorithm that analyzes the spectral data obtained at block 12.
  • From block 14, the process advances to block 16, where the security feature is compared to a standard. For example, according to various embodiments, the position and color of the pixels identified as metallic ink pixels may be compared to the desired position and color as defined by a particular quality standard. The placement or patterning of the metallic ink pixels may also be compared to the desired placement or patterning as defined by the particular standard. If the position, color, and placement or patterning of the pixels identified as metallic ink pixels are each within prespecified tolerances as defined by the particular standard, the security feature will be validated. For other security features (e.g., pearlescent ink, fluorescent material, fluorescent marking, etc.), the process described at block 16 will be the same but the standards may vary. The validation of the security feature may be determined by a simple comparison algorithm that compares the location, color, shape, pattern, etc. of the imaged security feature to a given standard. The validation may be communicated in any suitable manner.
  • FIG. 2 illustrates various embodiments of a system 40 for validating a security feature of an object. In general, one or more elements of the system 40 may perform the method 10 as described above.
  • The system 40 comprises at least two different illumination sources 42, a measuring instrument 44, a processor 46, a memory 48, a determination module 50, and a comparator module 52. According to various embodiments, one or more of the illumination sources 42, the processor 46, the memory 48, the determination module 50, and the comparator module 52 may comprise a portion of the measuring instrument 44. According to other embodiments, one or more of the illumination sources 42, the processor 46, the memory 48, the determination module 50, and the comparator module 52 may be separate and apart from the measuring instrument 44. For example, as shown in FIG. 2, the processor 46 may be in wired or wireless communication with the measuring instrument 44, and the memory 48, the determination module 50, and the comparator module 52 may be in wired or wireless communication with the processor 46. According to other embodiments, some system components may communicate with other system components in a different manner.
  • The illuminating sources 42 may each project a line of collimated light, and at least one of the illuminating sources may project a line of light that comprises UV rich light. According to various embodiments, each illuminating source 42 may comprise one or more light emitting diodes (LEDs), and a reflector, lens, or combination of both to collimate the light for each LED. Each illuminating source 42 may also comprise a light guide for conveying the collimated light to the object.
  • The measuring instrument 44 may be any measuring unit suitable for measuring spectral data of an object. For example, according to various embodiments, the measuring instrument is a line scanning spectrophotometer. The memory 48 may be any type of memory suitable for storing data.
  • The determination module 50 may be configured to determine the presence of a security feature of the object. As described above, the determination utilizes the spectral data measured under each illumination condition to determine the presence of the security feature.
  • The comparator module 52 may be configured to compare the security feature to a standard. As described above, the comparison utilizes the determined location, color, shape, pattern, etc. of the imaged security feature to compare the security feature to a given standard.
  • According to various embodiments, each of the modules 50, 52 may be implemented as software applications, computer programs, etc. utilizing any suitable computer language (e.g., C, C++, Delphi, Java, JavaScript, Perl, Visual Basic, VBScript, etc.) and may be embodied permanently or temporarily in any type of machine, component, physical or virtual equipment, storage medium, or propagated signal capable of delivering instructions to a device. The software code may be stored as a series of instructions or commands on a computer-readable medium such that when the processor 46 reads the medium, the functions described herein are performed.
  • As used herein, the term “computer-readable medium” may include, for example, magnetic and optical memory devices such as diskettes, compact discs of both read-only and writeable varieties, optical disk drives, and hard disk drives. A computer-readable medium may also include memory storage that can be physical, virtual, permanent, temporary, semi-permanent and/or semi-temporary. A computer-readable medium may further include one or more propagated signals, and such propagated signals may or may not be transmitted on one or more carrier waves.
  • Although the modules 50, 52 are shown in FIG. 2 as two separate modules, one skilled in the art will appreciate that the functionality of the modules 50, 52 may be combined into a single module. Also, although the modules 50, 52 are shown as being part of a common system 40, the modules 50, 52 may be installed on separate, distinct systems that are in wired or wireless communication with one another. For example, for embodiments where one or more of the modules 50, 52 are installed on separate distinct systems, the modules may be in communication with one another via a network (not shown). Such a network may include any type of delivery system including, but not limited to, a local area network (e.g., Ethernet), a wide area network (e.g. the Internet and/or World Wide Web), a telephone network (e.g., analog, digital, wired, wireless, PSTN, ISDN, GSM, GPRS, and/or XDSL), a packet-switched network, a radio network, a television network, a cable network, a satellite network, and/or any other wired or wireless communications network configured to carry data. Such a network may also include elements, such as, for example, intermediate nodes, proxy servers, routers, switches, and adapters configured to direct and/or deliver data.
  • While several embodiments of the invention have been described, it should be apparent, however, that various modifications, alterations and adaptations to those embodiments may occur to persons skilled in the art with the attainment of some or all of the advantages of the disclosed invention. Therefore, this application is intended to cover all such modifications, alterations and adaptations without departing from the scope and spirit of the disclosed invention as defined by the appended claims.

Claims (21)

1. A method for validating a security feature of an object, the method comprising:
measuring spectral data of the object under a first illumination condition and a second illumination condition, wherein the second illumination condition is different than the first illumination condition;
determining a presence of the security feature based on the spectral data measured under each illumination condition; and
comparing the security feature to a standard.
2. The method of claim 1, wherein:
measuring under the first illumination condition comprises illuminating the object with a first line of light; and
measuring under the second illumination condition comprises illuminating the object with a second line of light.
3. The method of claim 2, wherein:
illuminating the object with the first line of light comprises illuminating the object with a first collimated line of light; and
illuminating the object with the second line of light comprises illuminating the object with a second collimated line of light.
4. The method of claim 3, wherein at least one of the first and second lines of light comprises a line of UV rich light.
5. The method of claim 3, wherein measuring the spectral data comprises measuring light reflected from the object at a detection angle normal to a surface of the object.
6. The method of claim 5, wherein:
illuminating the object with the first line of collimated light comprises illuminating the object at an angle 15 degrees off the detection angle; and
illuminating the object with the second collimated line of light comprises illuminating the object at an angle 45 degrees off the detection angle.
7. The method of claim 1, further comprising measuring spectral data of the object under a third illumination condition, wherein the third illumination condition is different than the first and second illumination conditions.
8. The method of claim 7, wherein:
measuring under the first illumination condition comprises illuminating the object with a first line of light;
measuring under the second illumination condition comprises illuminating the object with a second line of light; and
measuring under the third illumination condition comprises illuminating the object with a third line of light.
9. The method of claim 8, wherein:
illuminating the object with the first line of light comprises illuminating the object with a first collimated line of light;
illuminating the object with the second line of light comprises illuminating the object with a second collimated line of light; and
illuminating the object with the third line of light comprises illuminating the object with a third collimated line of light.
10. The method of claim 9, wherein at least one of the first, second, and third lines of light comprises a line of UV rich light.
11. The method of claim 9, wherein measuring the spectral data comprises measuring light reflected from the object at a detection angle 45 degrees off a normal of a surface of the object.
12. The method of claim 11, wherein:
illuminating the object with the first line of collimated light comprises illuminating the object at an angle 25 degrees off an opposing projection of the detection angle;
illuminating the object with the second collimated line of light comprises illuminating the object at an angle 45 degrees off the opposing projection of the detection angle; and
illuminating the object with the third collimated line of light comprises illuminating the object at an angle 75 degrees off the opposing projection of the detection angle.
13. The method of claim 1, wherein determining the presence of the security feature comprises determining the presence of a metallic ink.
14. The method of claim 1, wherein determining the presence of the security feature comprises determining the presence of a pearlescent ink.
15. The method of claim 1, wherein determining the presence of the security feature includes determining the presence of at least one of the following:
a fluorescent material in the object; and
a fluorescent marking on the object.
16. The method of claim 1, wherein comparing the security feature to the standard comprises comparing a location of the security feature to the standard.
17. The method of claim 1, wherein comparing the security feature to the standard comprises comparing a shape of the security feature to the standard.
18. The method of claim 1, wherein comparing the security feature to the standard comprises comparing a color of the security feature to the standard.
19. The method of claim 1, wherein comparing the security feature to the standard comprises comparing a pattern of the security feature to the standard.
20. A system for validating a security feature of an object, the system comprising:
at least two illumination sources, wherein each illumination source is oriented at a different angle;
a line scanning spectrophotometer;
a determination module for determining a presence of a security feature of the object; and
a comparator module for comparing the security feature to a standard.
21. A computer program stored on a computer-readable medium, the program comprising instructions for:
determining a presence of a security feature of an object; and
comparing the security feature to a standard.
US11/403,334 2005-04-12 2006-04-12 Systems and methods for validating a security feature of an object Abandoned US20060244948A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US11/403,334 US20060244948A1 (en) 2005-04-12 2006-04-12 Systems and methods for validating a security feature of an object

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US67040705P 2005-04-12 2005-04-12
US11/403,334 US20060244948A1 (en) 2005-04-12 2006-04-12 Systems and methods for validating a security feature of an object

Publications (1)

Publication Number Publication Date
US20060244948A1 true US20060244948A1 (en) 2006-11-02

Family

ID=37087683

Family Applications (3)

Application Number Title Priority Date Filing Date
US11/403,334 Abandoned US20060244948A1 (en) 2005-04-12 2006-04-12 Systems and methods for validating a security feature of an object
US11/403,114 Abandoned US20060244806A1 (en) 2005-04-12 2006-04-12 Systems and methods for measuring a like-color region of an object
US11/402,788 Active 2027-03-23 US7545499B2 (en) 2005-04-12 2006-04-12 Systems and methods for measuring a colored flexible material during a manufacturing process

Family Applications After (2)

Application Number Title Priority Date Filing Date
US11/403,114 Abandoned US20060244806A1 (en) 2005-04-12 2006-04-12 Systems and methods for measuring a like-color region of an object
US11/402,788 Active 2027-03-23 US7545499B2 (en) 2005-04-12 2006-04-12 Systems and methods for measuring a colored flexible material during a manufacturing process

Country Status (3)

Country Link
US (3) US20060244948A1 (en)
EP (2) EP1875178A4 (en)
WO (3) WO2006110841A2 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060244935A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a colored flexible material during a manufacturing process
US20060244960A1 (en) * 2005-04-05 2006-11-02 Overbeck James L Systems and methods for monitoring a process output with a highly abridged spectrophotometer
US20070035740A1 (en) * 2005-08-15 2007-02-15 Nisper Jon K Optical instrument
US20070188764A1 (en) * 2005-08-15 2007-08-16 Nisper Jon K Optical instrument and components thereof
US20140147005A1 (en) * 2011-06-24 2014-05-29 Tomra Systems Asa Method and apparatus for detecting fraud attempts in reverse vending machines

Families Citing this family (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7911652B2 (en) * 2005-09-08 2011-03-22 Xerox Corporation Methods and systems for determining banding compensation parameters in printing systems
US9345091B2 (en) * 2013-02-08 2016-05-17 Cree, Inc. Light emitting device (LED) light fixture control systems and related methods
US8626912B1 (en) 2013-03-15 2014-01-07 Extrahop Networks, Inc. Automated passive discovery of applications
US8867343B2 (en) 2013-03-15 2014-10-21 Extrahop Networks, Inc. Trigger based recording of flows with play back
US9338147B1 (en) 2015-04-24 2016-05-10 Extrahop Networks, Inc. Secure communication secret sharing
US10204211B2 (en) 2016-02-03 2019-02-12 Extrahop Networks, Inc. Healthcare operations with passive network monitoring
US9729416B1 (en) 2016-07-11 2017-08-08 Extrahop Networks, Inc. Anomaly detection using device relationship graphs
US9660879B1 (en) 2016-07-25 2017-05-23 Extrahop Networks, Inc. Flow deduplication across a cluster of network monitoring devices
US10476673B2 (en) 2017-03-22 2019-11-12 Extrahop Networks, Inc. Managing session secrets for continuous packet capture systems
US10263863B2 (en) 2017-08-11 2019-04-16 Extrahop Networks, Inc. Real-time configuration discovery and management
US10063434B1 (en) 2017-08-29 2018-08-28 Extrahop Networks, Inc. Classifying applications or activities based on network behavior
US9967292B1 (en) 2017-10-25 2018-05-08 Extrahop Networks, Inc. Inline secret sharing
US10389574B1 (en) 2018-02-07 2019-08-20 Extrahop Networks, Inc. Ranking alerts based on network monitoring
US10264003B1 (en) 2018-02-07 2019-04-16 Extrahop Networks, Inc. Adaptive network monitoring with tuneable elastic granularity
US10038611B1 (en) 2018-02-08 2018-07-31 Extrahop Networks, Inc. Personalization of alerts based on network monitoring
US10270794B1 (en) 2018-02-09 2019-04-23 Extrahop Networks, Inc. Detection of denial of service attacks
US10116679B1 (en) 2018-05-18 2018-10-30 Extrahop Networks, Inc. Privilege inference and monitoring based on network behavior
US10411978B1 (en) 2018-08-09 2019-09-10 Extrahop Networks, Inc. Correlating causes and effects associated with network activity
US10594718B1 (en) 2018-08-21 2020-03-17 Extrahop Networks, Inc. Managing incident response operations based on monitored network activity
US10965702B2 (en) 2019-05-28 2021-03-30 Extrahop Networks, Inc. Detecting injection attacks using passive network monitoring
US11165814B2 (en) 2019-07-29 2021-11-02 Extrahop Networks, Inc. Modifying triage information based on network monitoring
US11388072B2 (en) 2019-08-05 2022-07-12 Extrahop Networks, Inc. Correlating network traffic that crosses opaque endpoints
US10742530B1 (en) 2019-08-05 2020-08-11 Extrahop Networks, Inc. Correlating network traffic that crosses opaque endpoints
US10742677B1 (en) 2019-09-04 2020-08-11 Extrahop Networks, Inc. Automatic determination of user roles and asset types based on network monitoring
US11165823B2 (en) 2019-12-17 2021-11-02 Extrahop Networks, Inc. Automated preemptive polymorphic deception
EP4218212A1 (en) 2020-09-23 2023-08-02 ExtraHop Networks, Inc. Monitoring encrypted network traffic
US11463466B2 (en) 2020-09-23 2022-10-04 Extrahop Networks, Inc. Monitoring encrypted network traffic
US11349861B1 (en) 2021-06-18 2022-05-31 Extrahop Networks, Inc. Identifying network entities based on beaconing activity
US11296967B1 (en) 2021-09-23 2022-04-05 Extrahop Networks, Inc. Combining passive network analysis and active probing
US11843606B2 (en) 2022-03-30 2023-12-12 Extrahop Networks, Inc. Detecting abnormal data access based on data similarity

Citations (52)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4413276A (en) * 1981-11-16 1983-11-01 Hertz Carl H Optical scanner for color facsimile
US4558786A (en) * 1983-06-15 1985-12-17 Marvin M. Lane Electro-optical sorter
US4566797A (en) * 1982-06-09 1986-01-28 Kozponti Elelmiszeripari Kutato Intezet Spectrophotometer operating at discrete wavelengths
US4618257A (en) * 1984-01-06 1986-10-21 Standard Change-Makers, Inc. Color-sensitive currency verifier
US4707838A (en) * 1984-08-31 1987-11-17 Carl-Zeiss-Stiftung Current supply for radiation sources of frequency-proportional optical sensors
US4797609A (en) * 1981-05-22 1989-01-10 The Perkin-Elmer Corporation LED monitoring without external light detection
US5072128A (en) * 1989-07-26 1991-12-10 Nikon Corporation Defect inspecting apparatus using multiple color light to detect defects
US5132736A (en) * 1989-05-31 1992-07-21 Canon Kabushiki Kaisha Transfer drum with different support position for resin sheet
US5137364A (en) * 1991-01-31 1992-08-11 Mccarthy Cornelius J Optical spectral analysis apparatus
US5311293A (en) * 1983-07-18 1994-05-10 Chromatics Color Sciences International, Inc. Method and instrument for selecting personal compatible colors
US5471052A (en) * 1993-10-25 1995-11-28 Eaton Corporation Color sensor system using a secondary light receiver
US5671735A (en) * 1983-07-18 1997-09-30 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US5838451A (en) * 1995-12-22 1998-11-17 Accuracy Microsensors, Inc. Optoelectronic spectral analysis system
US5844680A (en) * 1994-09-24 1998-12-01 Byk-Gardner Gmbh Device and process for measuring and analysing spectral radiation, in particular for measuring and analysing color characteristics
US5854680A (en) * 1996-04-27 1998-12-29 Man Roland Druckmaschinen Photoelectric densitometer
US5917183A (en) * 1994-09-24 1999-06-29 Byk-Gardner Gmbh Method of temperature compensation for optoelectronic components, more specifically optoelectronic semiconductors
US6020583A (en) * 1996-09-12 2000-02-01 Color Savvy Systems Limited Color sensor
US6020959A (en) * 1997-10-15 2000-02-01 Minolta Co., Ltd. Apparatus and method for measuring spectral characteristics of fluorescent sample
US6067504A (en) * 1983-07-18 2000-05-23 Chromatics Color Sciences International, Inc. Method for correctly identifying hair color
US6094500A (en) * 1997-05-24 2000-07-25 Ncr Corporation Apparatus for authenticating sheets
US6129664A (en) * 1992-01-07 2000-10-10 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US6178341B1 (en) * 1997-12-18 2001-01-23 Chromatics Color Sciences International, Inc. Color measurement system with color index for skin, teeth, hair and material substances
US6271920B1 (en) * 1997-12-19 2001-08-07 Chromatics Color Sciences International, Inc. Methods and apparatus for color calibration and verification
US6308088B1 (en) * 1992-01-07 2001-10-23 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US6384918B1 (en) * 1999-11-24 2002-05-07 Xerox Corporation Spectrophotometer for color printer color control with displacement insensitive optics
US6400099B1 (en) * 1997-06-30 2002-06-04 Hewlett-Packard Company Accelerated illuminate response system for light emitting diodes
US20020191175A1 (en) * 2000-01-21 2002-12-19 Coombs Paul G. Automated verification systems and methods for use with optical interference devices
US6556932B1 (en) * 2000-05-01 2003-04-29 Xerox Corporation System and method for reconstruction of spectral curves using measurements from a color sensor and a spectral measurement system model
US20030098896A1 (en) * 2001-11-01 2003-05-29 Berns Roy S. Spectral color reproduction with six color output
US6577395B1 (en) * 1999-08-19 2003-06-10 Rochester Institute Of Technology Method for measuring a lighting condition and an apparatus thereof
US6584435B2 (en) * 2001-08-30 2003-06-24 Xerox Corporation Systems and methods for determining spectra using dynamic karhunen-loeve algorithms with measurements from led color sensor
US6587793B2 (en) * 2001-09-17 2003-07-01 Xerox Corporation Systems and methods for determining spectra using fuzzy inference algorithms with measurements from LED color sensor
US6621576B2 (en) * 2001-05-22 2003-09-16 Xerox Corporation Color imager bar based spectrophotometer for color printer color control system
US6653992B1 (en) * 2001-02-28 2003-11-25 Varian Medical Systems, Inc. Method and circuit for reduction of correlated noise
US6661513B1 (en) * 2001-11-21 2003-12-09 Roygbiv, Llc Refractive-diffractive spectrometer
US6721692B2 (en) * 2001-08-30 2004-04-13 Xerox Corporation Systems and methods for determining spectra using dynamic least squares algorithms with measurements from LED color sensor
US6732917B1 (en) * 1999-10-11 2004-05-11 Gretag-Macbeth Ag Apparatus for automatic measurement of measuring fields
US6760124B1 (en) * 2000-03-22 2004-07-06 Hewlett-Packard Development Company, L.P. Software determination of led brightness and exposure
US6765674B2 (en) * 2000-08-11 2004-07-20 Gretag-Macbeth Ag Process and apparatus for the colorimetric measurement of a two-dimensional original
US20040208210A1 (en) * 2003-04-01 2004-10-21 Sharp Kabushiki Kaisha Light-emitting apparatus package, light-emitting apparatus, backlight apparatus, and display apparatus
US6844931B2 (en) * 2001-11-26 2005-01-18 Gretag-Macbeth Ag Spectrophotometer and its use
US20050036163A1 (en) * 2003-07-01 2005-02-17 Edge Christopher J. Modified neugebauer model for halftone imaging systems
US6903813B2 (en) * 2002-02-21 2005-06-07 Jjl Technologies Llc Miniaturized system and method for measuring optical characteristics
US6958810B2 (en) * 1998-06-30 2005-10-25 Jjl Technologies Llc Methods for characterizing gems or precious stones using a probe having a plurality of light receivers
US6970236B1 (en) * 2002-08-19 2005-11-29 Jds Uniphase Corporation Methods and systems for verification of interference devices
US7027186B2 (en) * 2000-02-23 2006-04-11 Dainichiseika Color & Chemicals Mfg. Co., Ltd. Method for evaluating reproducibility of toning sample by CCM
US7057727B2 (en) * 2000-12-08 2006-06-06 Gretag-Macbeth Ag Device for the pixel-by-pixel photoelectric measurement of a planar measured object
US7113281B2 (en) * 2000-12-08 2006-09-26 Gretag-Macbeth Ag Device for the pixel-by-pixel photoelectric measurement of a planar measured object
US20060244935A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a colored flexible material during a manufacturing process
US20060244960A1 (en) * 2005-04-05 2006-11-02 Overbeck James L Systems and methods for monitoring a process output with a highly abridged spectrophotometer
US20070016790A1 (en) * 1998-11-19 2007-01-18 Brundage Trent J Identification document and related methods
US20070035740A1 (en) * 2005-08-15 2007-02-15 Nisper Jon K Optical instrument

Family Cites Families (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5128753A (en) * 1954-12-24 1992-07-07 Lemelson Jerome H Method and apparatus for scaning objects and generating image information
US4171909A (en) 1977-03-25 1979-10-23 Miles Laboratories, Inc. Apparatus for measuring light intensities
JPS5960324A (en) 1982-09-30 1984-04-06 Matsushita Electric Works Ltd Color measuring device
EP0117606A1 (en) 1983-01-28 1984-09-05 Xerox Corporation Collector for a LED array
IL86349A (en) 1987-05-26 1993-04-04 Hughes Aircraft Co Temperature stabilization of laser diodes and light emitting diodes
JP2754591B2 (en) * 1988-09-12 1998-05-20 ミノルタ株式会社 Color copier and image forming method
US4988875A (en) * 1988-12-13 1991-01-29 At&T Bell Laboratories Near infrared polyethylene inspection system and method
US5258858A (en) * 1990-04-30 1993-11-02 Vincent Chow Modulated fiber optic image scanner
FR2681967B1 (en) * 1991-10-01 1994-11-25 Electronics For Imaging Inc METHOD AND APPARATUS FOR CHANGING THE COLORS OF AN IMAGE USING A COMPUTER.
US5383135A (en) * 1992-12-31 1995-01-17 Zellweger Uster, Inc. Acquisition, measurement and control of thin webs on in-process textile materials
DE69433297T2 (en) * 1993-02-05 2004-10-21 Bryn Mawr College Bryn Mawr SYNTHESIS OF TAXOL, ITS ANALOGS AND INTERMEDIATES WITH VARIABLE A-RING SIDE CHAINS
IT1265504B1 (en) 1993-09-06 1996-11-22 Viptronic Srl EQUIPMENT AND SYSTEM FOR CARRYING OUT DENSITOMETRIC AND/OR COLORIMETRIC DETECTIONS AND CONTROLS.
US5404282A (en) 1993-09-17 1995-04-04 Hewlett-Packard Company Multiple light emitting diode module
JPH07271266A (en) * 1994-03-31 1995-10-20 Canon Inc Image recording device and method therefor
US5880738A (en) 1994-08-11 1999-03-09 Canon Information Systems Research Australia Pty Ltd. Color mapping system utilizing weighted distance error measure
US5850472A (en) * 1995-09-22 1998-12-15 Color And Appearance Technology, Inc. Colorimetric imaging system for measuring color and appearance
IT1292543B1 (en) 1997-04-09 1999-02-08 Viptronic Srl DENSITOMETRIC AND SPECTROMETRIC DETECTION SYSTEM.
US6157454A (en) 1998-09-02 2000-12-05 Colorimeter, Llc Miniature colorimeter
US6332573B1 (en) 1998-11-10 2001-12-25 Ncr Corporation Produce data collector and produce recognition system
EP1030513A3 (en) * 1999-02-17 2001-10-24 Fuji Photo Film Co., Ltd. Image forming apparatus
WO2001016990A1 (en) 1999-08-30 2001-03-08 Color Savvy Systems Limited Automated scanning color measurement apparatus
US6984934B2 (en) 2001-07-10 2006-01-10 The Trustees Of Princeton University Micro-lens arrays for display intensity enhancement
JP2003185591A (en) 2001-12-19 2003-07-03 Sony Corp Surface inspection device and method therefor
US6753897B2 (en) 2001-12-26 2004-06-22 Xerox Corporation Adaptive light emitting diode bar equalization
US7295702B2 (en) 2002-03-28 2007-11-13 Color Savvy Systems Limited Method for segmenting an image
JP2006501860A (en) * 2002-05-22 2006-01-19 プラティパス テクノロジーズ エルエルシー Substrates, devices and methods for assaying cells
AU2003297064A1 (en) 2002-12-13 2004-07-09 Color Savvy Systems Limited Method for using an electronic imaging device to measure color
EP1496479A1 (en) * 2003-07-08 2005-01-12 Identification Systems DERMALOG GmbH Reading Device for the automatic verification of documents
EP1649514B1 (en) 2003-07-30 2014-01-01 Panasonic Corporation Semiconductor light emitting device, light emitting module, and lighting apparatus
US7443506B2 (en) 2003-11-18 2008-10-28 Octadem Technologies, Inc. Compact spectral readers for precise color determination
US7599559B2 (en) 2004-05-13 2009-10-06 Color Savvy Systems Limited Method for collecting data for color measurements from a digital electronic image capturing device or system
WO2006020833A2 (en) 2004-08-11 2006-02-23 Color Savvy Systems Limited Method for collecting data for color measurements from a digital electronic image capturing device or system
EP1659381A1 (en) 2004-11-17 2006-05-24 David Maurer Color identification device

Patent Citations (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4797609A (en) * 1981-05-22 1989-01-10 The Perkin-Elmer Corporation LED monitoring without external light detection
US4413276A (en) * 1981-11-16 1983-11-01 Hertz Carl H Optical scanner for color facsimile
US4566797A (en) * 1982-06-09 1986-01-28 Kozponti Elelmiszeripari Kutato Intezet Spectrophotometer operating at discrete wavelengths
US4558786A (en) * 1983-06-15 1985-12-17 Marvin M. Lane Electro-optical sorter
US5313267A (en) * 1983-07-18 1994-05-17 Chromatics Color Sciences International Inc. Method and instrument for selecting personal compatible colors
US6314372B1 (en) * 1983-07-18 2001-11-06 Chromatics Color Sciences International, Inc. Method and apparatus for hair color characterization and treatment
US6067504A (en) * 1983-07-18 2000-05-23 Chromatics Color Sciences International, Inc. Method for correctly identifying hair color
US6330341B1 (en) * 1983-07-18 2001-12-11 Chromatics Color Sciences International, Inc. Method and apparatus for hair color characterization and treatment
US5671735A (en) * 1983-07-18 1997-09-30 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US5311293A (en) * 1983-07-18 1994-05-10 Chromatics Color Sciences International, Inc. Method and instrument for selecting personal compatible colors
US4618257A (en) * 1984-01-06 1986-10-21 Standard Change-Makers, Inc. Color-sensitive currency verifier
US4707838A (en) * 1984-08-31 1987-11-17 Carl-Zeiss-Stiftung Current supply for radiation sources of frequency-proportional optical sensors
US5132736A (en) * 1989-05-31 1992-07-21 Canon Kabushiki Kaisha Transfer drum with different support position for resin sheet
US5072128A (en) * 1989-07-26 1991-12-10 Nikon Corporation Defect inspecting apparatus using multiple color light to detect defects
US5137364A (en) * 1991-01-31 1992-08-11 Mccarthy Cornelius J Optical spectral analysis apparatus
US6129664A (en) * 1992-01-07 2000-10-10 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US6308088B1 (en) * 1992-01-07 2001-10-23 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US6157445A (en) * 1992-01-07 2000-12-05 Chromatics Color Sciences International, Inc. Method and apparatus for detecting and measuring conditions affecting color
US5471052A (en) * 1993-10-25 1995-11-28 Eaton Corporation Color sensor system using a secondary light receiver
US5844680A (en) * 1994-09-24 1998-12-01 Byk-Gardner Gmbh Device and process for measuring and analysing spectral radiation, in particular for measuring and analysing color characteristics
US5917183A (en) * 1994-09-24 1999-06-29 Byk-Gardner Gmbh Method of temperature compensation for optoelectronic components, more specifically optoelectronic semiconductors
US5838451A (en) * 1995-12-22 1998-11-17 Accuracy Microsensors, Inc. Optoelectronic spectral analysis system
US5854680A (en) * 1996-04-27 1998-12-29 Man Roland Druckmaschinen Photoelectric densitometer
US6147761A (en) * 1996-09-12 2000-11-14 Color Savvy Systems Limited Color sensor
US6020583A (en) * 1996-09-12 2000-02-01 Color Savvy Systems Limited Color sensor
US6094500A (en) * 1997-05-24 2000-07-25 Ncr Corporation Apparatus for authenticating sheets
US6400099B1 (en) * 1997-06-30 2002-06-04 Hewlett-Packard Company Accelerated illuminate response system for light emitting diodes
US6020959A (en) * 1997-10-15 2000-02-01 Minolta Co., Ltd. Apparatus and method for measuring spectral characteristics of fluorescent sample
US6178341B1 (en) * 1997-12-18 2001-01-23 Chromatics Color Sciences International, Inc. Color measurement system with color index for skin, teeth, hair and material substances
US6271920B1 (en) * 1997-12-19 2001-08-07 Chromatics Color Sciences International, Inc. Methods and apparatus for color calibration and verification
US6958810B2 (en) * 1998-06-30 2005-10-25 Jjl Technologies Llc Methods for characterizing gems or precious stones using a probe having a plurality of light receivers
US20070016790A1 (en) * 1998-11-19 2007-01-18 Brundage Trent J Identification document and related methods
US6577395B1 (en) * 1999-08-19 2003-06-10 Rochester Institute Of Technology Method for measuring a lighting condition and an apparatus thereof
US6732917B1 (en) * 1999-10-11 2004-05-11 Gretag-Macbeth Ag Apparatus for automatic measurement of measuring fields
US6384918B1 (en) * 1999-11-24 2002-05-07 Xerox Corporation Spectrophotometer for color printer color control with displacement insensitive optics
US20020191175A1 (en) * 2000-01-21 2002-12-19 Coombs Paul G. Automated verification systems and methods for use with optical interference devices
US7027186B2 (en) * 2000-02-23 2006-04-11 Dainichiseika Color & Chemicals Mfg. Co., Ltd. Method for evaluating reproducibility of toning sample by CCM
US6760124B1 (en) * 2000-03-22 2004-07-06 Hewlett-Packard Development Company, L.P. Software determination of led brightness and exposure
US6556932B1 (en) * 2000-05-01 2003-04-29 Xerox Corporation System and method for reconstruction of spectral curves using measurements from a color sensor and a spectral measurement system model
US6765674B2 (en) * 2000-08-11 2004-07-20 Gretag-Macbeth Ag Process and apparatus for the colorimetric measurement of a two-dimensional original
US7113281B2 (en) * 2000-12-08 2006-09-26 Gretag-Macbeth Ag Device for the pixel-by-pixel photoelectric measurement of a planar measured object
US7057727B2 (en) * 2000-12-08 2006-06-06 Gretag-Macbeth Ag Device for the pixel-by-pixel photoelectric measurement of a planar measured object
US6653992B1 (en) * 2001-02-28 2003-11-25 Varian Medical Systems, Inc. Method and circuit for reduction of correlated noise
US6621576B2 (en) * 2001-05-22 2003-09-16 Xerox Corporation Color imager bar based spectrophotometer for color printer color control system
US6690471B2 (en) * 2001-05-22 2004-02-10 Xerox Corporation Color imager bar based spectrophotometer for color printer color control system
US6721692B2 (en) * 2001-08-30 2004-04-13 Xerox Corporation Systems and methods for determining spectra using dynamic least squares algorithms with measurements from LED color sensor
US6584435B2 (en) * 2001-08-30 2003-06-24 Xerox Corporation Systems and methods for determining spectra using dynamic karhunen-loeve algorithms with measurements from led color sensor
US6587793B2 (en) * 2001-09-17 2003-07-01 Xerox Corporation Systems and methods for determining spectra using fuzzy inference algorithms with measurements from LED color sensor
US20030098896A1 (en) * 2001-11-01 2003-05-29 Berns Roy S. Spectral color reproduction with six color output
US6661513B1 (en) * 2001-11-21 2003-12-09 Roygbiv, Llc Refractive-diffractive spectrometer
US6844931B2 (en) * 2001-11-26 2005-01-18 Gretag-Macbeth Ag Spectrophotometer and its use
US6903813B2 (en) * 2002-02-21 2005-06-07 Jjl Technologies Llc Miniaturized system and method for measuring optical characteristics
US6970236B1 (en) * 2002-08-19 2005-11-29 Jds Uniphase Corporation Methods and systems for verification of interference devices
US20040208210A1 (en) * 2003-04-01 2004-10-21 Sharp Kabushiki Kaisha Light-emitting apparatus package, light-emitting apparatus, backlight apparatus, and display apparatus
US20050036163A1 (en) * 2003-07-01 2005-02-17 Edge Christopher J. Modified neugebauer model for halftone imaging systems
US20060244960A1 (en) * 2005-04-05 2006-11-02 Overbeck James L Systems and methods for monitoring a process output with a highly abridged spectrophotometer
US20060244935A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a colored flexible material during a manufacturing process
US20060244806A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a like-color region of an object
US20070035740A1 (en) * 2005-08-15 2007-02-15 Nisper Jon K Optical instrument

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060244960A1 (en) * 2005-04-05 2006-11-02 Overbeck James L Systems and methods for monitoring a process output with a highly abridged spectrophotometer
US7301627B2 (en) 2005-04-05 2007-11-27 X-Rite, Inc. Systems and methods for monitoring a process output with a highly abridged spectrophotometer
US20060244935A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a colored flexible material during a manufacturing process
US20060244806A1 (en) * 2005-04-12 2006-11-02 Overbeck James L Systems and methods for measuring a like-color region of an object
US7545499B2 (en) 2005-04-12 2009-06-09 X-Rite, Inc. Systems and methods for measuring a colored flexible material during a manufacturing process
US20070035740A1 (en) * 2005-08-15 2007-02-15 Nisper Jon K Optical instrument
US20070188764A1 (en) * 2005-08-15 2007-08-16 Nisper Jon K Optical instrument and components thereof
US7557925B2 (en) 2005-08-15 2009-07-07 X-Rite, Inc. Optical instrument and parts thereof for optimally defining light pathways
US7557924B2 (en) 2005-08-15 2009-07-07 X-Rite, Inc. Apparatus and methods for facilitating calibration of an optical instrument
US20140147005A1 (en) * 2011-06-24 2014-05-29 Tomra Systems Asa Method and apparatus for detecting fraud attempts in reverse vending machines
US9189911B2 (en) * 2011-06-24 2015-11-17 Tomra Systems Asa Method and apparatus for detecting fraud attempts in reverse vending machines

Also Published As

Publication number Publication date
EP1875178A4 (en) 2010-05-26
EP1877742A2 (en) 2008-01-16
WO2006110865A3 (en) 2007-11-15
US20060244935A1 (en) 2006-11-02
US20060244806A1 (en) 2006-11-02
WO2006110841A2 (en) 2006-10-19
WO2006110842A2 (en) 2006-10-19
WO2006110842A3 (en) 2009-04-23
US7545499B2 (en) 2009-06-09
WO2006110841A3 (en) 2007-10-04
EP1875178A2 (en) 2008-01-09
WO2006110865A2 (en) 2006-10-19

Similar Documents

Publication Publication Date Title
US20060244948A1 (en) Systems and methods for validating a security feature of an object
KR101117914B1 (en) Counterfeit and tamper resistant labels with randomly occurring features
EP1250682B2 (en) Document monitoring method
US7259853B2 (en) Systems and methods for augmenting spectral range of an LED spectrophotometer
FI98003C (en) Optical verification of banknotes and other similar papers
US6798900B1 (en) Paper sheet identification method and apparatus
GB2355522A (en) Improvements in verifying printed security substrates
US20100027851A1 (en) Apparatus, method and process for the stochastic marking and tracking of printed products
WO2004036508A3 (en) Multi-wavelength currency authentication system and method
CY1108290T1 (en) INK METHOD AND GROUPS FOR OBJECTIVE MARKING AND IDENTIFICATION
EA019627B1 (en) Method and system for item identification
EP1357522B1 (en) Paper quality discriminating machine
RU2013120913A (en) METHOD FOR CHECKING THE OPTICAL PROTECTIVE SIGN OF A VALUABLE DOCUMENT
EP0198819B1 (en) Apparatus for authenticating bank notes
EP0660277B1 (en) Method and apparatus for the characterization and discrimination of legal tender bank notes and documents
US7755747B2 (en) Device and method for checking the authenticity of an anti-forgery marking
CN1234500A (en) Optical colour senser and colour printing examination apparatus
JPH11179288A (en) Level detector and treating device using the same
EP3105745A1 (en) Product authentication method
CA2224731A1 (en) Anticounterfeiting method
JP3292863B2 (en) Machine reading method and machine reading device
GB2340931A (en) Object colour validation
GB2122743A (en) Apparatus for authenticating bank notes
US20020109830A1 (en) Currency validator
JP3813212B2 (en) Printed material reading method and apparatus

Legal Events

Date Code Title Description
AS Assignment

Owner name: X-RITE, INCORPORATED, MICHIGAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:OVERBECK, JAMES L.;REEL/FRAME:017867/0131

Effective date: 20060615

AS Assignment

Owner name: GOLDMAN SACHS CREDIT PARTNERS L.P., NEW YORK

Free format text: PATENT SECURITY AGREEMENT (SECOND LIEN)--SUPPLEMENTAL IP;ASSIGNOR:X-RITE, INCORPORATED;REEL/FRAME:018057/0466

Effective date: 20060630

Owner name: FIFTH THIRD BANK, OHIO

Free format text: PATENT SECURITY AGREEMENT (FIRST LIEN) -- SUPPLEMENTAL IP;ASSIGNOR:X-RITE, INCORPORATED;REEL/FRAME:018056/0568

Effective date: 20060630

AS Assignment

Owner name: FIFTH THIRD BANK, A MICHIGAN BANKING CORPORATION,

Free format text: SECURITY AGREEMENT;ASSIGNORS:X-RITE, INCORPORATED;OTP, INCORPORATED;MONACO ACQUISITION COMPANY;AND OTHERS;REEL/FRAME:020064/0313

Effective date: 20071024

AS Assignment

Owner name: THE BANK OF NEW YORK, AS COLLATERAL AGENT, NEW YOR

Free format text: PATENT SECURITY AGREEMENT (SECOND LIEN);ASSIGNOR:X-RITE, INCORPORATED;REEL/FRAME:020156/0569

Effective date: 20071024

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION

AS Assignment

Owner name: X-RITE, INCORPORATED, MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: X-RITE HOLDINGS, INC., MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: GRETAGMACBETH, LLC, MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: X-RITE GLOBAL, INCORPORATED, MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: OTP, INCORPORATED, MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: PANTONE, INC., NEW JERSEY

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001

Owner name: MONACO ACQUISITION COMPANY, MICHIGAN

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:THE BANK OF NEW YORK MELLON, AS AGENT;REEL/FRAME:026149/0681

Effective date: 20101001