WO2013039002A1 - Solid identification information generation device, article determination device and article determination system and method - Google Patents

Solid identification information generation device, article determination device and article determination system and method Download PDF

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Publication number
WO2013039002A1
WO2013039002A1 PCT/JP2012/072921 JP2012072921W WO2013039002A1 WO 2013039002 A1 WO2013039002 A1 WO 2013039002A1 JP 2012072921 W JP2012072921 W JP 2012072921W WO 2013039002 A1 WO2013039002 A1 WO 2013039002A1
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WIPO (PCT)
Prior art keywords
identification information
pattern
article
individual identification
data
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PCT/JP2012/072921
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French (fr)
Japanese (ja)
Inventor
証 佐藤
ナッタポン アッタラパドゥン
花岡　悟一郎
Original Assignee
独立行政法人産業技術総合研究所
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Application filed by 独立行政法人産業技術総合研究所 filed Critical 独立行政法人産業技術総合研究所
Priority to JP2013533644A priority Critical patent/JP5765749B2/en
Publication of WO2013039002A1 publication Critical patent/WO2013039002A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking

Definitions

  • the present invention relates to an individual identification information generation apparatus for an article that generates an identification information pattern for identifying an article, an article determination apparatus that determines authenticity of an article from the identification information pattern and an article unique pattern, a system, and a method thereof. It is.
  • biometrics As a technique for authenticating a person, a technique called biometrics or biometric authentication technique using fingerprints or irises having different characteristics depending on the individual is generally known.
  • Magnetic stripes and IC chips are generally known as techniques for authenticating artificial objects such as paper and cloth. Even in the case of articles such as artificial objects such as clothes and bags, the unevenness of the surface of the paper and the texture of the cloth are different for each individual, and it is difficult to intentionally make the same thing.
  • a technique for identifying individual features of an artifact for the purpose of preventing counterfeiting is called artifact metrics (Non-Patent Document 1).
  • the methods described in the technical literature described above also have a problem that the identification pattern printing and the identification device need to have an identification function capable of identifying a non-magnetic pattern, which makes the device expensive. Furthermore, since an identification device having a non-magnetic pattern identification function is required, the authenticity of the printed material cannot be easily verified.
  • the present invention has been made in view of the above-described problems of the prior art, and can determine the authenticity of an article by using an article-specific pattern that is different for each article without requiring a special device.
  • the purpose is to provide a system.
  • the apparatus for generating individual identification information of an article includes an identification information generating unit that generates an identification information pattern, an acquisition unit that acquires data of a region to which an identification information pattern is assigned, and an acquisition unit Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern are superimposed from the area data.
  • the individual identification information generating means generates feature information based on a pattern in which an identification information pattern and an article unique pattern are superimposed as individual identification information.
  • the article individual identification information generating apparatus further includes a registration unit that associates the generated individual identification information with the identification information pattern and registers them in the storage unit.
  • the image processing apparatus further includes a distortion correction unit that corrects distortion of the acquired region data, and the individual identification information generation unit superimposes the identification information pattern and the article specific pattern from the region data corrected by the distortion correction unit.
  • a distortion correction unit that corrects distortion of the acquired region data
  • the individual identification information generation unit superimposes the identification information pattern and the article specific pattern from the region data corrected by the distortion correction unit.
  • the identification information generation means is an individual identification information generation apparatus for an article that generates a barcode or a two-dimensional code.
  • the method for generating individual identification information of an article according to the present invention includes a step of acquiring data of an area to which an identification information pattern of an article is provided, and an identification information pattern and an article unique pattern are superimposed from the area data acquired by the acquisition means. Extracting individual patterns and generating individual identification information.
  • An article determination apparatus includes an acquisition unit that acquires data of an area having an identification information pattern assigned to an article, an identification information extraction unit that extracts the identification information pattern included in the acquired data, and an acquisition unit
  • the identification information pattern generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern included in the acquired data are superimposed, and the identification information pattern and the individual identification information are associated with each other.
  • the storage means for storing, the individual identification information corresponding to the identification information pattern extracted by the identification information extraction means from the storage means is read, compared with the individual identification information generated by the individual identification information generation means, and based on the comparison result, Determining means for determining the authenticity of the article.
  • the data acquired by the acquisition unit is image data, and further includes a distortion correction unit that corrects distortion of the image data acquired by the acquisition unit, and the individual identification information generation unit includes the distortion corrected image data.
  • a distortion correction unit that corrects distortion of the image data acquired by the acquisition unit
  • the individual identification information generation unit includes the distortion corrected image data.
  • This is an article determination device that extracts a pattern in which an identification information pattern and an article unique pattern are superimposed.
  • the individual identification information generating means extracts feature information based on a pattern in which the identification information pattern and the article unique pattern are superimposed as individual identification information.
  • the individual identification information stored in the storage means is any one of coordinate data, image data, shape data, and feature amount data of an identification information pattern and an article specific pattern.
  • it has a notification means for notifying the determination result determined by the determination means.
  • An article determination method includes a step of acquiring data of an area having an identification information pattern assigned to an article, a step of extracting an identification information pattern included in the acquired data, and an identification information pattern included in the acquired data A step of generating individual identification information by extracting a pattern in which an article-specific pattern is superimposed, and individual identification information corresponding to an identification information pattern extracted from a storage unit that stores the identification information pattern and the individual identification information in association with each other And comparing with the generated individual identification information, and determining the authenticity of the article based on the comparison result.
  • An article determination system for determining the authenticity of an article includes an article individual identification information generation apparatus that generates individual identification information of an article, and an article determination apparatus that determines the authenticity of an article.
  • the individual identification information generation device includes an identification information generation unit that generates an identification information pattern, an acquisition unit that acquires data of a region to which an identification information pattern of an article is attached, and an identification information pattern from the region data acquired by the acquisition unit.
  • an individual identification information generating means for generating individual identification information by extracting a pattern in which an article-specific pattern is superimposed, and the article determination device obtains data of an area having an identification information pattern assigned to the article.
  • An acquisition unit for acquiring, an identification information extraction unit for extracting an identification information pattern included in the acquired data, and an identification information pattern included in the data acquired by the acquisition unit
  • the individual identification information generating means for generating the individual identification information by extracting the pattern in which the product unique pattern is superimposed, the storage means for storing the identification information pattern and the individual identification information in association with each other, and the identification information from the storage means
  • a determination unit that reads out the individual identification information corresponding to the identification information pattern extracted by the extraction unit, compares it with the individual identification information generated by the individual identification information generation unit, and determines the authenticity of the article based on the comparison result; .
  • the individual identification information according to the present invention is based on a pattern in which an identification information pattern and an article unique pattern are superimposed, the identification information pattern given to the article is used as a guide while utilizing the characteristics of each product. Thus, it is possible to easily and accurately specify the region from which the individual identification information is to be extracted.
  • the image data used for authenticity determination includes an identification information pattern
  • distortion can be calculated based on the information of the identification information pattern even if the image data is distorted. Is possible. Therefore, even if the image data has distortion, it is possible to determine the authenticity with high accuracy.
  • FIG. 11B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. It is an example of the image which displayed from the center of the basic block of the Finder pattern of the two-dimensional code in FIG.
  • FIG. 11B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. It is an example of the image which displayed from the center of the basic block of the Finder pattern of the two-dimensional code in FIG.
  • FIG. 12 is a diagram illustrating an example of a Finder pattern image obtained by photographing a Finder pattern of the same article cloth as in FIG. 11 on different days and binarizing printing unevenness.
  • 12B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. 12A. It is an example of the image which displayed from the center of the basic block of the Finder pattern of the two-dimensional code in FIG. It is a figure which shows an example of the image which image
  • FIG. 13B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. It is an example of the image which carried out vector display from the center of the basic block of the two-dimensional code Finder pattern of FIG.
  • FIG. 1 is a block diagram showing an example of the configuration of an article determination system 100 according to an embodiment of the present invention.
  • the article determination system 100 is a system for determining the authenticity of an article, and includes an individual identification information generation device 110, an item determination device 120, and a reading device 130.
  • the individual identification information generation device 110, the article determination device 120, and the reading device 130 are connected to each other via a network such as the Internet.
  • the individual identification information generation apparatus 110 is information used for determining the authenticity of an article, and is an apparatus that generates an identification information pattern given to the article and generates individual identification information. This individual identification information generation device 110 is used, for example, by an article provider or manufacturer.
  • the article determination apparatus 120 is an apparatus that acquires an identification information pattern given to an article and acquires individual identification information to determine the authenticity of the article in order to determine the authenticity of the article.
  • the article determination device 120 is used by, for example, a purchaser of an article or a person who intends to purchase an article.
  • the reading device 130 is a device that reads information from an article to which information generated by the individual identification information generation device 110 is added.
  • the reading device 10 reads image data of a region to which an identification information pattern given to an article is given, and is, for example, an image sensor, a digital camera, a scanner, or the like.
  • the data to be read is not limited to image data, but may be information other than image data, for example, a magnetic pattern of a magnetic material read by a magnetic sensor.
  • the individual identification information generation apparatus 110 includes an acquisition unit 111, a distortion correction unit 112, an individual identification information generation unit 113, a registration unit 114, and an identification information generation unit 115.
  • the individual identification information generation device 110 is realized by cooperation of hardware resources and software, and is, for example, a computer. Specifically, the various functions of the individual identification information generation device 110 are executed by a control device (for example, a processor such as a CPU) by reading an individual identification information generation program recorded on a recording medium into a main memory. It is realized with. However, the individual identification information generation device 110 may be realized only by hardware. Further, the individual identification information generation device 110 may be physically realized by one device or may be realized by a plurality of devices.
  • a control device for example, a processor such as a CPU
  • the acquisition unit 111 acquires data extracted from the article. For example, the image data of the area to which the identification information pattern read by the reading device 130 is added is acquired. Note that the acquisition unit 111 may acquire the data read by the reading device 120 as it is, or may cut out and acquire only a certain area including the identification information pattern from the read data.
  • the identification information pattern includes a two-dimensional code, a one-dimensional bar code, and the like.
  • the acquisition unit 111 acquires data of an area including an identification information pattern and an article unique pattern that is a characteristic of an individual article.
  • the article-specific pattern is a physical characteristic of the article that is difficult to counterfeit, and is a characteristic that is different for each article, such as the texture or wrinkle of the article.
  • the identification information pattern and the article unique pattern are obtained by superimposing the identification information pattern on the article unique pattern by printing or the like, and obtain an area in which the identification information pattern and the article unique pattern are superimposed.
  • the distortion correction unit 112 corrects the distortion of the data acquired by the acquisition unit 111.
  • the region including the identification information pattern may be distorted depending on the state of the article, the direction of shooting at the time of image acquisition, and the like.
  • the distortion correction unit 112 corrects distortion and distortion of image data.
  • the distortion of the entire image data is corrected by calculating the distortion of the identification information included in the image data based on the identification information data generated by the identification information generation unit 115.
  • the correction method may correct the distortion of the image data itself, or may calculate the correct position of the feature point based on the calculation result by calculating the distortion of the image data.
  • the distortion correction unit 112 corrects distortion by calculating the center position, size, rotation angle, and the like in the identification information pattern. In another aspect, the distortion correction unit 112 reads the identification information pattern stored in the storage unit 125 based on the identification information extracted by the identification information extraction unit 122, and determines the identification information pattern of the image data. Calculate the distortion.
  • the individual identification information generation unit 113 extracts a pattern in which the identification information pattern and the article unique pattern are superimposed from the data acquired by the acquisition unit 111 or the data after the distortion correction unit 112 performs distortion correction. Generate identification information. In one aspect, the individual identification information generation unit 113 generates image data itself including an identification information pattern and an article specific pattern as individual identification information.
  • the individual identification information generation unit 113 is one of the positional relationship and relative relationship between the identification information pattern and the article specific pattern, coordinate data, shape data, feature amount data, or a combination thereof. Is generated as individual identification information.
  • the registration unit 114 registers the individual identification information generated by the individual identification information generation unit 113 in the storage device in association with the identification information pattern included in the image data from which the individual identification information is extracted.
  • the storage device may be a memory in the individual identification information generation device or an external storage device.
  • the registration unit 114 transmits and registers individual identification information and an identification information pattern to the storage unit of the article determination device 120 via a network.
  • the identification information generation unit 115 generates an identification information pattern to be given to the article.
  • the identification information pattern to be generated is, for example, a two-dimensional code or a one-dimensional bar code, and in one aspect, includes different number information for each article, for example, a manufacturing number of the article.
  • the generated identification information pattern is given by printing or the like on the article.
  • the article determination apparatus 120 includes an acquisition unit 121, an identification information extraction unit 122, a distortion correction unit 123, an individual identification information generation unit 124, a storage unit 125, a determination unit 126, and a notification unit 127.
  • the article determination apparatus 120 is realized by the cooperation of hardware resources and software, and is, for example, a computer. Specifically, various functions of the article determination device 120 are realized by an individual identification information generation program recorded on a recording medium being read into a main memory and executed by a control device (for example, a processor such as a CPU). Is done. However, the article determination device 120 may be realized only by hardware. Further, the article determination device 120 may be physically realized by one device or may be realized by a plurality of devices.
  • the acquisition unit 121 acquires data included in the article. For example, data of an area having an identification information pattern read by the reading device 130 is acquired from the reading device 130.
  • the identification information extraction unit 122 extracts the identification information pattern given to the article from the data acquired by the acquisition unit 121.
  • the identification information pattern to be extracted is, for example, a two-dimensional code or a one-dimensional barcode.
  • the distortion correction unit 123 corrects the distortion of the data acquired by the acquisition unit 121.
  • the image of the region including the identification information pattern may be distorted depending on the state of the article, the shooting direction at the time of image acquisition, and the like.
  • the distortion correction unit 123 corrects distortion and distortion of the image data.
  • the correction method may correct the distortion of the image data itself, or may calculate the correct position of the feature point based on the calculation result by calculating the distortion of the image data.
  • the distortion correction unit 123 corrects distortion by calculating the center position, size, rotation angle, and the like in the identification information pattern using the identification information pattern included in the image data.
  • the individual identification information generation unit 124 extracts a pattern in which the identification information pattern and the article unique pattern are superimposed from the data acquired by the acquisition unit 121 or the data after the distortion correction unit 123 performs distortion correction. Generate identification information. In one aspect, the individual identification information generation unit 124 generates image data itself including an area where the identification information pattern and the article unique pattern are superimposed as individual identification information. The generated individual identification information is used in the determination unit for authenticity determination of the article.
  • the individual identification information generation unit 124 selects one or a combination of the positional relationship and relative relationship between the identification information pattern and the article specific pattern, coordinate data, shape information, feature amount data, and the like. Generated as individual identification information.
  • the storage unit 125 stores individual identification information and an identification information pattern in association with each other.
  • the storage unit 125 is a database that stores individual identification information and identification information patterns transmitted from the individual identification information generation device 110 via a network in association with each other.
  • the information acquired from the identification information pattern and the individual identification information are stored in association with each other.
  • the storage unit 125 is not limited to the inside of the article determination device 120, but may be a storage device externally connected to the article determination device.
  • the connection method may be any connection such as a LAN or the Internet.
  • the determination unit 126 reads the individual identification information corresponding to the identification information pattern extracted by the identification information extraction unit 122 from the storage unit 125, compares it with the individual identification information generated by the individual identification information generation unit 124, and based on the comparison result. Judge authenticity. When the individual identification information generated by the individual identification information generation unit 124 matches the individual identification information stored in the storage unit 125, the determination unit 126 determines that the article is true (genuine) and matches. If not, it is determined to be fake.
  • the notification unit 126 notifies the result determined by the determination unit 125. For example, the authenticity determination result is notified to the reading device 130 via the network.
  • the reading device 130 is a device that reads an area to which an identification information pattern is assigned from an article to which an identification information pattern generated by the individual identification information generation device 110 is assigned.
  • the reading device 130 reads image data of a one-dimensional code or two-dimensional code area printed on an article.
  • the data to be read is not limited to image data, but may be information other than image data, for example, a magnetic pattern of a magnetic material read by a magnetic sensor.
  • the reading device 130 not only reads image data but also decodes encoded one-dimensional code or two-dimensional code information.
  • the camera of a camera-equipped mobile phone The data read by the reading device 130 is transmitted to the individual identification information generating device 110 when registering individual identification information. In the case of authenticity determination, it is transmitted to the article determination device 120.
  • the reading device 130 and the individual identification information generation device 110 are configured as separate devices via a network here, but may be configured as a single device.
  • the reading device 130 and the article determination device 120 may be configured as one device.
  • a camera-equipped mobile phone can be considered.
  • FIG. 2 is a diagram showing an example of a flow from adding a two-dimensional code to a cloth to register individual identification information and performing authenticity determination based on the individual identification information.
  • the identification information generation unit 115 of the individual identification information generation device 110 generates a two-dimensional code that is an identification information pattern having identification information (two-dimensional code generation).
  • the identification information is, for example, an ID such as a production number uniquely assigned to each article.
  • the generated two-dimensional code is printed on a cloth using a printing apparatus or the like (printing on the cloth).
  • the printed two-dimensional code is photographed by the reader 130 (photographing).
  • the image is taken, not only the two-dimensional code but also the cloth that is an article-specific pattern is taken as the background. That is, both patterns are superimposed by printing the two-dimensional code that is the identification information pattern on the fabric that is the article-specific pattern.
  • the individual identification information is generated based on the feature information of the pattern generated by superimposing the identification information pattern and the article unique pattern.
  • the image data acquired by the reading device 130 is transmitted to the individual identification information generating device 110.
  • the acquisition unit 111 of the individual identification information generation apparatus 110 acquires image data. Individual identification information is extracted from the acquired image data using unevenness caused by the texture of the cloth and a two-dimensional code, but the image is distorted due to shrinkage of the cloth at the time of printing and photographing conditions. Therefore, the distortion correction unit 112 corrects the distortion of the image so that the two-dimensional code becomes an original square (distortion correction). After the distortion is corrected, the individual identification information generation unit 113 extracts the two-dimensional code and the individual identification information caused by the unevenness of the cloth in the two-dimensional code (feature extraction), and the registration unit 114 together with the two-dimensional code, for example, Registration is performed in the storage unit 124 of the article determination device 120 (registration).
  • the purchaser uses a reader 130 such as a mobile phone camera to photograph the area on which the identification information pattern is printed. ,read.
  • the reading device 130 sends the photographed image data to the article determination device 120 and inquires whether it is genuine.
  • the article determination device 120 acquires image data by the acquisition unit 121.
  • the identification information extraction unit 122 extracts and decodes the two-dimensional code as the identification information
  • the distortion correction unit 123 corrects the distortion of the image data
  • the individual identification information generation unit 124 identifies the identification information pattern and the article unique pattern. Individual identification information composed of a pattern in which and are superimposed is extracted (distortion correction, feature extraction).
  • the determination unit 125 uses the same identification information pattern read from the storage unit 124 because the article-specific pattern is different. Compared with the corresponding individual identification information, since it does not match, it is determined as a fake (comparison).
  • the notification unit 126 notifies the reading device 130 of the result of the fake determination.
  • the determination unit 125 may determine that the same identification information is a fake without making a comparison when performing the determination more than a predetermined number of times.
  • the reading device 130 is configured by a camera-equipped mobile phone, and the mobile phone has a function such as GPS, and the location information of the mobile phone can be transmitted to the article determination device 120, An authenticity inquiry about the same code is made to the article determination device 120 from different places. Therefore, the determination unit 125 can clearly determine that one or both are fake by holding and comparing the received position information.
  • FIG. 3 is a flowchart showing an example of the operation of the individual identification information generation apparatus in product manufacture.
  • a product including a cloth is manufactured and a two-dimensional code as identification information is given to the cloth will be described as an example with reference to FIG.
  • the individual identification information generation device 110 creates a two-dimensional code for each cloth so that the identification information generation unit 115 provides one identification information for one product (S11).
  • the two-dimensional code generated by the identification information generation unit 115 is printed on a cloth by a printing device or the like (S12).
  • the reading device 130 acquires image data by photographing an area having a two-dimensional code attached to the cloth (S13).
  • the image data is transmitted to the individual identification information generation device 110.
  • the acquisition unit 111 acquires image data, and the distortion correction unit 112 corrects the distortion of the acquired image using the two-dimensional code pattern generated by the identification information generation unit (S14).
  • the individual identification information generation unit 113 extracts the feature information of the cloth in the region having the pattern in which the article unique pattern and the identification information pattern are superimposed from the corrected image subjected to distortion correction, and generates individual identification information (S15). .
  • the registration unit 114 stores the two-dimensional code that is the identification information pattern and the feature information that is the individual identification information, for example, in the database of the storage unit 125 of the article determination device 120 (S16).
  • FIG. 4 is a flowchart showing an example of the operation of the article determination apparatus when determining the authenticity of an article.
  • item is performed using the two-dimensional code provided to cloth is demonstrated as an example.
  • the user captures the area of the two-dimensional code given to the cloth of the article with the reading device 130, and transmits the image data of the photographed two-dimensional code to the article determination device.
  • the acquisition unit 121 of the article determination apparatus receives image data of a two-dimensional code via, for example, the Internet (S21).
  • the article determination apparatus corrects the distortion of the image using the two-dimensional code included in the image data in the distortion correction unit (S22).
  • the article determination apparatus obtains feature information configured by superimposing a two-dimensional code that is an identification information pattern and a cloth that is an article-specific pattern from image data after distortion is corrected by the individual identification information generation unit. Extraction is performed to generate individual identification information (S23).
  • the article determination device extracts a two-dimensional code from the image data in the identification information extraction unit, and reads individual identification information, which is characteristic information corresponding to the two-dimensional code extracted in the determination unit, from the database in the storage unit (S24). .
  • the determination unit compares the individual identification information read from the database in the storage unit with the individual identification information generated by extracting the features of the individual identification information generation unit (S25).
  • the determination unit determines whether the two pieces of individual identification information match (S26). When the determination unit determines that they match, the notification unit notifies the reading device of the user that the article is genuine (S27). When it is determined that the determination units do not match, the notification unit notifies the reading device of the user that the article is fake (S28).
  • Fig. 5 shows an example of printing a two-dimensional code on a cloth.
  • the cloth is woven regularly in the vertical and horizontal directions, and the two-dimensional code is printed in black there.
  • the individual identification information is generated based on a pattern in which the two-dimensional code that is the printed identification information and the fabric texture pattern that is the article-specific pattern are superimposed.
  • FIG. 6 shows an example in which the fabric texture of the portion where the two-dimensional code is not printed is extracted.
  • Individual identification information for each product can be generated by extracting the relationship between the printed two-dimensional code pattern and the position and number of eyes unique to each product as feature information.
  • FIG. 7 shows an example in which image data obtained by photographing a two-dimensional code printed on a cloth is binarized by image processing. Since the cloth has a fine uneven shape, uneven printing occurs when a two-dimensional code is printed. A pattern that appears white in a black portion caused by uneven printing can be used as individual identification information, for example. Further, by using the two-dimensional code printed on the region to which the two-dimensional code as the identification information pattern is applied, the region where the individual identification information is to be extracted can be easily and accurately specified.
  • FIG. 8 is an example when a two-dimensional code printed on a cloth is photographed.
  • One of the methods for obtaining the uneven pattern of the cloth, which is an article-specific pattern, is photographing with a camera.
  • the two-dimensional code obtained by photographing is distorted variously depending on the direction of photographing, how to place the cloth, and deformation during printing. It is also conceivable that the two-dimensional code itself printed on the cloth is deformed due to washing or aging. Therefore, in one aspect of the present invention, correct individual identification information can be extracted by correcting distortion of image data acquired by the distortion correction unit (112 or 123) using a two-dimensional code whose original form is known. I have to.
  • FIG. 9 is a diagram illustrating an example of a positioning pattern of a two-dimensional code.
  • square blocks called Finder patterns are placed at three corners.
  • the distortion correction unit 112 or 123 scans the acquired image, and coordinates of the center points of the three Finder patterns from the place where the ratio of black: white: black: white: black is 1: 1: 3: 1: 1 Determine the size, rotation angle, etc. of the two-dimensional code.
  • the distortion correction unit (112, 123) further increases the ratio of black: white: black: white: black to 1:
  • the coordinates of the center point of the 1: 1: 1: 1 square block Alignment pattern are calculated.
  • a grid is generated so as to pass through the center of a 1 ⁇ 1 square black-and-white pattern, which is the basic unit of the original QR code (registered trademark) pattern. Since the image is distorted, a distorted grid is generated based on the positional relationship between the Finder pattern and the Alignment pattern. And the color of each intersection of this grid is read.
  • FIG. 10 is a diagram showing an example of grid generation in the case of a large two-dimensional code.
  • a two-dimensional code has a plurality of sizes, and a large object has a large distortion. Therefore, in the case of a large two-dimensional code, a plurality of alignment patterns may be prepared, the two-dimensional code may be divided, and a grid may be generated in each area. In the example of FIG. 10, it is divided into four.
  • This 2D code reading method calculates the reading position according to the distortion instead of correcting the distortion of the captured image.
  • a grid corresponding to the original 1 ⁇ 1 square can be generated, it is possible to correct the distortion by deforming the grid so as to be a square and transforming the corresponding image block into a square.
  • the color of the intersection of each grid is unknown.
  • the image distortion correction of the present invention since the exact pattern of 1 ⁇ 1 all unit blocks of the two-dimensional code is stored in the database of the storage unit, using this, the finer block distortion correction can be performed. Can be done.
  • FIG. 11 is a diagram showing an example of an image of uneven printing of a two-dimensional code printed on a cloth.
  • FIG. 11 a is an image obtained by binarizing the printing unevenness in the Finder pattern of the two-dimensional code caused by the unevenness of the cloth. Note that the distortion has already been corrected, and the grid lines are displayed in an overlapping manner.
  • the image of FIG. 11b is an enlarged view of the 3 ⁇ 3 portion of the Finder pattern in the image, and the number of white spots caused by the unevenness in each 1 ⁇ 1 basic block is indicated by a number.
  • the image of FIG. 11c is a vector display of the center position of each white point by the feature of distance and direction from the center of the basic block.
  • FIG. 12 is a diagram showing an example of an image obtained by shooting the Finder pattern of the same article cloth as in FIG. 11 on a different day from FIG. 11.
  • FIG. 12a shows a binarized image
  • FIG. 12c is an image in which the center position of each white point is displayed as a vector from the center of the basic block.
  • FIG. 13 is a diagram showing an example of an image taken on the same day as FIG. 11 of the Finder pattern of the cloth of the article different from FIG.
  • FIG. 13a is a binarized image of the cloth of another article
  • FIG. 13b is an image showing the number of white dots caused by irregularities in each 1 ⁇ 1 basic block in the image of FIG. 13a
  • FIG. 13B is an image in which the center position of each white point in FIG. 13A is displayed as a vector from the center of the basic block.
  • the number of white dots in each 1 ⁇ 1 basic block is indicated by a number.
  • This number is an example of the feature information of the individual identification information defined by the positional relationship between the basic block of the printed two-dimensional code and the article unique pattern. It is clear from the number of points that FIG. 11b and FIG. 12b coincide and FIG. 13b is different.
  • the center position of each white point is displayed as a vector by the feature of distance and direction from the center of the basic block.
  • the vector information is an example of feature information of individual identification information defined by the positional relationship between the basic block of the printed two-dimensional code and the article unique pattern.
  • the two-dimensional code has been described as an example here, but other codes such as a bar code can be used in the present invention.
  • the case where a two-dimensional code is printed on the cloth of the article has been described as an example.
  • the present invention is not limited to this, and can be applied by attaching a code such as a two-dimensional code or a barcode to other materials such as leather and paper. It is. Further, the distortion correction method and the feature information extraction method are not limited to the embodiments.

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Abstract

Provided is an article determination system capable of reliably determining authenticity using article specific patterns that differ for each article. A solid identification information generation device has the following: an identification information generation means that generates identification information patterns; an acquisition means that acquires region data for an identification information pattern; and a solid identification information generation means that extracts from the region data a pattern wherein the identification information patterns and the article specific pattern are superimposed and generates solid identification information. An article determination device has the following: an acquisition means that acquires region data for an identification information pattern; an identification information extraction means that extracts an identification information pattern; a solid identification information generation means that extracts from the data a pattern wherein the identification information patterns and the article specific pattern are superimposed and that generates solid identification information; a storage means that correlates and stores the identification information patterns and solid identification information; and a determination means that reads out solid identification information corresponding to the identification information pattern extracted by the identification information extraction means, does a comparison with the generated solid identification information, and determines the authenticity of an article on the basis of the comparison results.

Description

個体識別情報生成装置、物品判定装置、物品判定システム及び方法Individual identification information generation apparatus, article determination apparatus, article determination system and method
　本発明は、物品を識別するための識別情報パターンを生成する物品の個体識別情報生成装置、該識別情報パターンと物品固有パターンとから物品の真正を判定する物品判定装置、システム及びその方法に関するものである。 The present invention relates to an individual identification information generation apparatus for an article that generates an identification information pattern for identifying an article, an article determination apparatus that determines authenticity of an article from the identification information pattern and an article unique pattern, a system, and a method thereof. It is.
　人を認証する技術として、個々人によって異なる特徴を有する指紋や虹彩を利用したバイオメトリックスあるいは生体認証技術と呼ばれる技術が一般的に知られている。 As a technique for authenticating a person, a technique called biometrics or biometric authentication technique using fingerprints or irises having different characteristics depending on the individual is generally known.
　紙や布などの人工物を認証する技術としては、磁気ストライプやＩＣチップなどが一般的に知られている。人工物、例えば衣服、バッグ等の物品であっても、紙の表面の凹凸や布の織目は個体ごとに異なり、意図的に同じ物を作ることは難しい。偽造防止等のために人工物の個体の特徴を識別する技術は人工物メトリクスと呼ばれている（非特許文献１）。 Magnetic stripes and IC chips are generally known as techniques for authenticating artificial objects such as paper and cloth. Even in the case of articles such as artificial objects such as clothes and bags, the unevenness of the surface of the paper and the texture of the cloth are different for each individual, and it is difficult to intentionally make the same thing. A technique for identifying individual features of an artifact for the purpose of preventing counterfeiting is called artifact metrics (Non-Patent Document 1).
　また、特に印刷物のセキュリティに関して、印刷物が真正に印刷されたものであることを識別するために互いの相補の関係にある磁性インクと非磁性インクとのドットパターンからなる識別情報を印刷物に組み込む技術が特許文献１に開示されている。 In particular, with regard to the security of printed matter, a technique for incorporating identification information comprising dot patterns of magnetic ink and non-magnetic ink that are complementary to each other in order to identify that the printed matter is genuinely printed. Is disclosed in Patent Document 1.
特開２００９－６４２７３号公報JP 2009-64273 A
　しかし、多様な個体差を持つ人工物を作り出すことは比較的簡単であるが、そこから個体識別に利用できる特徴（形状やパターン）を抽出するには、特徴抽出を行う場所の正確な指定が必要となる。人工物の形状は様々であるため、特徴点を有するどの部分の画像や凹凸を観測すればよいのか、正確に指定したりすることが難しいという問題があった。 However, it is relatively easy to create artifacts with various individual differences, but in order to extract features (shapes and patterns) that can be used for individual identification from them, it is necessary to specify the exact location of the feature extraction. Necessary. Since the shape of the artificial object is various, there is a problem that it is difficult to accurately specify which part having the feature point and the image of the unevenness to be observed.
　また、常に同じ条件での観測は困難であるため取得した情報には歪みが生じやすいという問題があった。 Also, since it is difficult to always observe under the same conditions, there is a problem that the acquired information is likely to be distorted.
　さらに、精度の高い計測を行うには、装置が高価となるうえ、処理が煩雑となって処理時間がかかってしまうという問題があった。 Furthermore, in order to perform highly accurate measurement, there are problems that the apparatus becomes expensive and the processing becomes complicated and takes a long time.
　また、上記した技術文献の方法でも、識別パターンの印刷やその識別装置に、非磁性パターンも識別可能な識別機能を備える必要があり、装置が高価となるという問題があった。さらに、非磁性パターンの識別機能を備えた識別装置が必要となるため、印刷物の真正性を容易に検証することができない。 Also, the methods described in the technical literature described above also have a problem that the identification pattern printing and the identification device need to have an identification function capable of identifying a non-magnetic pattern, which makes the device expensive. Furthermore, since an identification device having a non-magnetic pattern identification function is required, the authenticity of the printed material cannot be easily verified.
　本発明は、上述した従来技術の課題に鑑みてなされたもので、特殊な装置を必要とすることなく、物品個々に異なる物品固有パターンを用いて確実な真贋判定を行うことの可能な物品判定システムを提供することを目的とする。 The present invention has been made in view of the above-described problems of the prior art, and can determine the authenticity of an article by using an article-specific pattern that is different for each article without requiring a special device. The purpose is to provide a system.
　本発明に係る物品の個体識別情報生成装置は、識別情報パターンを生成する識別情報生成手段と、物品の、識別情報パターンが付与された領域のデータを取得する取得手段と、取得手段が取得した領域データから、識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、を有する。 The apparatus for generating individual identification information of an article according to the present invention includes an identification information generating unit that generates an identification information pattern, an acquisition unit that acquires data of a region to which an identification information pattern is assigned, and an acquisition unit Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern are superimposed from the area data.
　好ましくは、個体識別情報生成手段は、識別情報パターンと物品固有パターンとが重畳されたパターンによる特徴情報を個体識別情報として生成される。 Preferably, the individual identification information generating means generates feature information based on a pattern in which an identification information pattern and an article unique pattern are superimposed as individual identification information.
　さらに好ましくは、生成した個体識別情報と、識別情報パターンとを対応づけて記憶部へ登録する登録手段をさらに有する物品の個体識別情報生成装置である。 More preferably, the article individual identification information generating apparatus further includes a registration unit that associates the generated individual identification information with the identification information pattern and registers them in the storage unit.
　また、好ましくは、さらに取得された領域データの歪みを補正する歪み補正手段を有し、個体識別情報生成手段は、歪み補正手段が修正した領域データから識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して生成する物品の個体識別情報生成装置である。 Preferably, the image processing apparatus further includes a distortion correction unit that corrects distortion of the acquired region data, and the individual identification information generation unit superimposes the identification information pattern and the article specific pattern from the region data corrected by the distortion correction unit. This is an apparatus for generating individual identification information of an article generated by extracting a generated pattern.
　さらに好ましくは、識別情報生成手段は、バーコード又は二次元コードを生成する、物品の個体識別情報生成装置である。 More preferably, the identification information generation means is an individual identification information generation apparatus for an article that generates a barcode or a two-dimensional code.
　本発明に係る物品の個体識別情報生成方法は、物品の識別情報パターンが付与された領域のデータを取得するステップ、取得手段が取得した領域データから、識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成するステップ、とを有する。 The method for generating individual identification information of an article according to the present invention includes a step of acquiring data of an area to which an identification information pattern of an article is provided, and an identification information pattern and an article unique pattern are superimposed from the area data acquired by the acquisition means. Extracting individual patterns and generating individual identification information.
　本発明に係る物品判定装置は、物品に付与された識別情報パターンを有する領域のデータを取得する取得手段と、取得したデータに含まれる前記識別情報パターンを抽出する識別情報抽出手段と、取得手段が取得したデータに含まれる前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、識別情報パターンと個体識別情報とを対応づけて記憶する記憶手段と、記憶手段から識別情報抽出手段が抽出した前記識別情報パターンに対応する個体識別情報を読み出し、個体識別情報生成手段が生成した個体識別情報と比較し、比較結果に基づいて、物品の真贋を判定する判定手段と、を有する。 An article determination apparatus according to the present invention includes an acquisition unit that acquires data of an area having an identification information pattern assigned to an article, an identification information extraction unit that extracts the identification information pattern included in the acquired data, and an acquisition unit The identification information pattern generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern included in the acquired data are superimposed, and the identification information pattern and the individual identification information are associated with each other. The storage means for storing, the individual identification information corresponding to the identification information pattern extracted by the identification information extraction means from the storage means is read, compared with the individual identification information generated by the individual identification information generation means, and based on the comparison result, Determining means for determining the authenticity of the article.
　好ましくは、取得手段が取得したデータは、画像データであって、さらに取得手段が取得した画像データの歪みを補正する歪み補正手段を有し、個体識別情報生成手段は、歪み補正した画像データから識別情報パターンと物品固有パターンとが重畳されたパターンを抽出する物品判定装置である。 Preferably, the data acquired by the acquisition unit is image data, and further includes a distortion correction unit that corrects distortion of the image data acquired by the acquisition unit, and the individual identification information generation unit includes the distortion corrected image data. This is an article determination device that extracts a pattern in which an identification information pattern and an article unique pattern are superimposed.
　また、個体識別情報生成手段は、識別情報パターンと物品固有パターンとが重畳されたパターンによる特徴情報を個体識別情報として抽出する。 Also, the individual identification information generating means extracts feature information based on a pattern in which the identification information pattern and the article unique pattern are superimposed as individual identification information.
　好ましくは、記憶手段に記憶される個体識別情報は、識別情報パターンと物品固有パターンの座標データ、画像データ、形状データ、特徴量データ、のいずれか一つである。 Preferably, the individual identification information stored in the storage means is any one of coordinate data, image data, shape data, and feature amount data of an identification information pattern and an article specific pattern.
　さらに、好ましくは、判定手段が判定した判定結果を通知する通知手段を有する。 Furthermore, preferably, it has a notification means for notifying the determination result determined by the determination means.
　本発明に係る物品判定方法は、物品に付与された識別情報パターンを有する領域のデータを取得するステップ、取得したデータに含まれる識別情報パターンを抽出するステップ、取得したデータに含まれる識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成するステップ、識別情報パターンと個体識別情報とを対応づけて記憶する記憶部から抽出した識別情報パターンに対応する個体識別情報を読み出し、生成した個体識別情報と比較し、比較結果に基づいて、物品の真贋を判定するステップと、を有する。 An article determination method according to the present invention includes a step of acquiring data of an area having an identification information pattern assigned to an article, a step of extracting an identification information pattern included in the acquired data, and an identification information pattern included in the acquired data A step of generating individual identification information by extracting a pattern in which an article-specific pattern is superimposed, and individual identification information corresponding to an identification information pattern extracted from a storage unit that stores the identification information pattern and the individual identification information in association with each other And comparing with the generated individual identification information, and determining the authenticity of the article based on the comparison result.
　本発明に係る物品の真贋を判定するための物品判定システムは、物品の個体識別情報を生成する物品の個体識別情報生成装置と、物品の真贋を判定する物品判定装置とを有し、物品の個体識別情報生成装置は、識別情報パターンを生成する識別情報生成手段と、物品の識別情報パターンが付与された領域のデータを取得する取得手段と、取得手段が取得した領域データから、識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、を有し、物品判定装置は、物品に付与された識別情報パターンを有する領域のデータを取得する取得手段と、取得したデータに含まれる識別情報パターンを抽出する識別情報抽出手段と、取得手段が取得したデータに含まれる識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、識別情報パターンと個体識別情報とを対応づけて記憶する記憶手段と、記憶手段から識別情報抽出手段が抽出した前記識別情報パターンに対応する個体識別情報を読み出し、個体識別情報生成手段が生成した個体識別情報と比較し、比較結果に基づいて物品の真贋を判定する判定手段と、を有する。 An article determination system for determining the authenticity of an article according to the present invention includes an article individual identification information generation apparatus that generates individual identification information of an article, and an article determination apparatus that determines the authenticity of an article. The individual identification information generation device includes an identification information generation unit that generates an identification information pattern, an acquisition unit that acquires data of a region to which an identification information pattern of an article is attached, and an identification information pattern from the region data acquired by the acquisition unit. And an individual identification information generating means for generating individual identification information by extracting a pattern in which an article-specific pattern is superimposed, and the article determination device obtains data of an area having an identification information pattern assigned to the article. An acquisition unit for acquiring, an identification information extraction unit for extracting an identification information pattern included in the acquired data, and an identification information pattern included in the data acquired by the acquisition unit The individual identification information generating means for generating the individual identification information by extracting the pattern in which the product unique pattern is superimposed, the storage means for storing the identification information pattern and the individual identification information in association with each other, and the identification information from the storage means A determination unit that reads out the individual identification information corresponding to the identification information pattern extracted by the extraction unit, compares it with the individual identification information generated by the individual identification information generation unit, and determines the authenticity of the article based on the comparison result; .
　本発明に係る個体識別情報は、識別情報パターンと物品固有パターンとが重畳されたパターンに基づくため、個々の製品の特徴を利用しながら、物品に付与されている識別情報パターンをガイドとすることで、個体識別情報を抽出すべき領域を簡単かつ正確に特定することが可能である。 Since the individual identification information according to the present invention is based on a pattern in which an identification information pattern and an article unique pattern are superimposed, the identification information pattern given to the article is used as a guide while utilizing the characteristics of each product. Thus, it is possible to easily and accurately specify the region from which the individual identification information is to be extracted.
　また、真贋判定に用いられる画像データは、識別情報パターンを含んでいるため、画像データに歪みがあったとしても、識別情報パターンの情報に基づいて歪みを計算することができるため、歪み補正を行うことが可能である。従って、歪みを有した画像データであっても、高精度に真贋判定を行うことが可能である。 In addition, since the image data used for authenticity determination includes an identification information pattern, distortion can be calculated based on the information of the identification information pattern even if the image data is distorted. Is possible. Therefore, even if the image data has distortion, it is possible to determine the authenticity with high accuracy.
　さらに、識別情報パターンを有する画像データを取得すれば、真贋判定を行うことが可能であるため、例えば、デジタルカメラ、カメラ付き携帯電話などの既存の装置で実現することが可能である。 Furthermore, since it is possible to determine the authenticity by acquiring image data having an identification information pattern, it can be realized with an existing device such as a digital camera or a camera-equipped mobile phone.
本発明の実施の形態に係る物品判定システム１００の構成の一例を示すブロック図である。It is a block diagram showing an example of composition of article judgment system 100 concerning an embodiment of the invention. 布に二次元コードを付与して個体識別情報を登録し、個体識別情報によって真贋判定を行うまでの流れの一例を示す図である。It is a figure which shows an example of the flow until assigning a two-dimensional code to cloth, registering individual identification information, and performing authenticity determination by individual identification information. 製品製造における個体識別情報生成装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of operation | movement of the individual identification information generation apparatus in product manufacture. 物品の真贋判定時における物品判定装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of operation | movement of the goods determination apparatus at the time of the authenticity determination of goods. 布に二次元コードを印刷した場合の一例である。It is an example at the time of printing a two-dimensional code on cloth. 二次元コードが印刷されていない部分の布の織目を抜き出した場合の一例である。It is an example in the case of extracting the fabric texture of the portion where the two-dimensional code is not printed. 布に印刷された二次元コードを撮影した画像データを画像処理で二値化した場合の一例である。It is an example when the image data which image | photographed the two-dimensional code printed on the cloth was binarized by image processing. 布に印刷された二次元コードを撮影した場合の一例である。It is an example at the time of image | photographing the two-dimensional code printed on the cloth. 二次元コードの位置決めパターンの一例を示す図である。It is a figure which shows an example of the positioning pattern of a two-dimensional code. 大きな二次元コードの場合のグリッド生成の一例を示す図である。It is a figure which shows an example of the grid production | generation in the case of a big two-dimensional code. 布に印刷された二次元コードの印刷ムラを２値化したFinder patternの画像の一例を示す図である。It is a figure which shows an example of the image of the Finder pattern which binarized the printing nonuniformity of the two-dimensional code printed on the cloth. 図１１ａにおける二次元コードのFinder patternの基本ブロック内に生じた白い点の数を数字で示した画像の一例である。FIG. 11B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. 図１１ａにおける二次元コードのFinder patternの基本ブロックの中心から白い点までをベクトル表示した画像の一例である。It is an example of the image which displayed from the center of the basic block of the Finder pattern of the two-dimensional code in FIG. 図１１と同じ物品の布のFinder patternを異なる日に撮影した画像であって、印刷ムラを２値化したFinder patternの画像の一例を示す図である。FIG. 12 is a diagram illustrating an example of a Finder pattern image obtained by photographing a Finder pattern of the same article cloth as in FIG. 11 on different days and binarizing printing unevenness. 図１２ａにおける二次元コードのFinder patternの基本ブロック内に生じた白い点の数を数字で示した画像の一例である。12B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. 12A. 図１２ａにおける二次元コードのFinder patternの基本ブロックの中心から白い点までをベクトル表示した画像の一例である。It is an example of the image which displayed from the center of the basic block of the Finder pattern of the two-dimensional code in FIG. 図１１とは別の物品の布のFinder patternを同じ日に撮影した画像の一例を示す図である。It is a figure which shows an example of the image which image | photographed the Finder pattern of the cloth of the articles | goods different from FIG. 11 on the same day. 図１３ａにおける二次元コードのFinder patternの基本ブロック内に生じた白い点の数を数字で示した画像の一例である。FIG. 13B is an example of an image showing the number of white dots generated in the basic block of the two-dimensional code Finder pattern in FIG. 図１３ａにおける二次元コードのFinder patternの基本ブロックの中心から白い点までをベクトル表示した画像の一例である。It is an example of the image which carried out vector display from the center of the basic block of the two-dimensional code Finder pattern of FIG.
　以下、本発明の実施の形態を図面に従って説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
　図１は、本発明の実施の形態に係る物品判定システム１００の構成の一例を示すブロック図である。この物品判定システム１００は、物品の真贋を判定するシステムであり、個体識別情報生成装置１１０と、物品判定装置１２０と、読取装置１３０とを含む。個体識別情報生成装置１１０と、物品判定装置１２０と、読取装置１３０とは互いにインターネット等のネットワークを介して接続されている。 FIG. 1 is a block diagram showing an example of the configuration of an article determination system 100 according to an embodiment of the present invention. The article determination system 100 is a system for determining the authenticity of an article, and includes an individual identification information generation device 110, an item determination device 120, and a reading device 130. The individual identification information generation device 110, the article determination device 120, and the reading device 130 are connected to each other via a network such as the Internet.
　個体識別情報生成装置１１０は、物品の真贋の判定に利用される情報であって、当該物品に付与される識別情報パターンを生成し、また個体識別情報を生成する装置である。この個体識別情報生成装置１１０は、例えば、物品の提供者や製造者において用いられる。 The individual identification information generation apparatus 110 is information used for determining the authenticity of an article, and is an apparatus that generates an identification information pattern given to the article and generates individual identification information. This individual identification information generation device 110 is used, for example, by an article provider or manufacturer.
　物品判定装置１２０は、物品の真贋を判定するために、物品に付与されている識別情報パターンを取得し、また個体識別情報を取得して、当該物品の真贋を判定する装置である。この物品判定装置１２０は、例えば、物品の購入者や物品を購入しようとしている者によって利用される。 The article determination apparatus 120 is an apparatus that acquires an identification information pattern given to an article and acquires individual identification information to determine the authenticity of the article in order to determine the authenticity of the article. The article determination device 120 is used by, for example, a purchaser of an article or a person who intends to purchase an article.
　読取装置１３０は、個体識別情報生成装置１１０により生成された情報が付与された物品から、情報を読み取る装置である。一つの態様では、読取装置１０は、物品に付与された識別情報パターンが付与された領域の画像データを読み取るものであり、例えば、画像センサ、デジタルカメラ、スキャナなどである。なお読み取るデータは画像データに限らず、画像データ以外の情報、例えば磁気センサで読み取る磁性体の磁気パターンであってもよい。 The reading device 130 is a device that reads information from an article to which information generated by the individual identification information generation device 110 is added. In one aspect, the reading device 10 reads image data of a region to which an identification information pattern given to an article is given, and is, for example, an image sensor, a digital camera, a scanner, or the like. The data to be read is not limited to image data, but may be information other than image data, for example, a magnetic pattern of a magnetic material read by a magnetic sensor.
　個体識別情報生成装置１１０は、取得部１１１、歪み補正部１１２、個体識別情報生成部１１３、登録部１１４、識別情報生成部１１５を有する。 The individual identification information generation apparatus 110 includes an acquisition unit 111, a distortion correction unit 112, an individual identification information generation unit 113, a registration unit 114, and an identification information generation unit 115.
　個体識別情報生成装置１１０は、一つの態様では、ハードウェア資源とソフトウェアの協働で実現され、例えばコンピュータである。具体的には、個体識別情報生成装置１１０の各種機能は、記録媒体に記録された個体識別情報生成プログラムがメインメモリに読み出されて制御装置（例えば、ＣＰＵなどのプロセッサ）によって実行されることで実現される。但し、個体識別情報生成装置１１０は、ハードウェアでのみ実現されていてもよい。また、個体識別情報生成装置１１０は、物理的に一つの装置により実現されてもよく、複数の装置により実現されていてもよい。 In one aspect, the individual identification information generation device 110 is realized by cooperation of hardware resources and software, and is, for example, a computer. Specifically, the various functions of the individual identification information generation device 110 are executed by a control device (for example, a processor such as a CPU) by reading an individual identification information generation program recorded on a recording medium into a main memory. It is realized with. However, the individual identification information generation device 110 may be realized only by hardware. Further, the individual identification information generation device 110 may be physically realized by one device or may be realized by a plurality of devices.
　取得部１１１は、物品から抽出されるデータを取得する。例えば、読取装置１３０が読み取った識別情報パターンが付与された領域の画像データを取得する。なお、取得部１１１は、読取装置１２０が読み取ったデータをそのまま取得してもよく、また読み取ったデータのうち、識別情報パターンが含まれる一定の領域のみを切り出して取得してもよい。例えば、識別情報パターンとして、二次元コードや一次元バーコードなどがあげられる。 The acquisition unit 111 acquires data extracted from the article. For example, the image data of the area to which the identification information pattern read by the reading device 130 is added is acquired. Note that the acquisition unit 111 may acquire the data read by the reading device 120 as it is, or may cut out and acquire only a certain area including the identification information pattern from the read data. For example, the identification information pattern includes a two-dimensional code, a one-dimensional bar code, and the like.
　一つの態様では、取得部１１１は、識別情報パターンと物品の個体の特徴である物品固有パターンとが含まれた領域のデータを取得する。物品固有パターンは、物品の偽造困難な物理的な特徴であり、物品の布目、しわなど、物品個々に異なる特徴である。一つの態様では、識別情報パターンと物品固有パターンとは、物品固有パターンの上に識別情報パターンが印刷等により重畳されており、識別情報パターンと物品固有パターンとが重畳された領域を取得する。 In one aspect, the acquisition unit 111 acquires data of an area including an identification information pattern and an article unique pattern that is a characteristic of an individual article. The article-specific pattern is a physical characteristic of the article that is difficult to counterfeit, and is a characteristic that is different for each article, such as the texture or wrinkle of the article. In one aspect, the identification information pattern and the article unique pattern are obtained by superimposing the identification information pattern on the article unique pattern by printing or the like, and obtain an area in which the identification information pattern and the article unique pattern are superimposed.
　歪み補正部１１２は、取得部１１１により取得されたデータの歪みを補正する。例えば、画像データである場合に、物品の状態や、画像取得時の撮影の向きなどによって、識別情報パターンを含んだ領域がゆがみを有していることがある。歪み補正部１１２は、画像データの歪みやゆがみを補正する。一つの態様では、識別情報生成部１１５が生成した際の識別情報データに基づいて、画像データに含まれる識別情報の歪みを計算することで、画像データ全体の歪みを補正する。補正方法は、画像データそのものの歪みを補正してもよく、また画像データの歪みを計算して、計算結果をもとに特徴点の正しい位置を計算する方法でもよい。 The distortion correction unit 112 corrects the distortion of the data acquired by the acquisition unit 111. For example, in the case of image data, the region including the identification information pattern may be distorted depending on the state of the article, the direction of shooting at the time of image acquisition, and the like. The distortion correction unit 112 corrects distortion and distortion of image data. In one aspect, the distortion of the entire image data is corrected by calculating the distortion of the identification information included in the image data based on the identification information data generated by the identification information generation unit 115. The correction method may correct the distortion of the image data itself, or may calculate the correct position of the feature point based on the calculation result by calculating the distortion of the image data.
　一つの態様では、歪み補正部１１２は、識別情報パターンにおける中心位置、サイズ、回転角などを計算することで、歪みを補正する。また、別の態様では、歪み補正部１１２は、識別情報抽出部１２２で抽出された識別情報をもとに、記憶部１２５に記憶された識別情報パターンを読み出して、画像データの識別情報パターンとの歪みを計算する。 In one aspect, the distortion correction unit 112 corrects distortion by calculating the center position, size, rotation angle, and the like in the identification information pattern. In another aspect, the distortion correction unit 112 reads the identification information pattern stored in the storage unit 125 based on the identification information extracted by the identification information extraction unit 122, and determines the identification information pattern of the image data. Calculate the distortion.
　個体識別情報生成部１１３は、取得部１１１が取得したデータ、または歪み補正部１１２が歪み補正を行った後のデータから、識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する。一つの態様では、個体識別情報生成部１１３は、識別情報パターンと物品固有パターンを含む画像データそのものを個体識別情報として生成する。 The individual identification information generation unit 113 extracts a pattern in which the identification information pattern and the article unique pattern are superimposed from the data acquired by the acquisition unit 111 or the data after the distortion correction unit 112 performs distortion correction. Generate identification information. In one aspect, the individual identification information generation unit 113 generates image data itself including an identification information pattern and an article specific pattern as individual identification information.
　また、別の態様では、個体識別情報生成部１１３は、識別情報パターンと物品固有パターンとの位置関係や相対関係、座標データ、形状データ、特徴量データのうちの一つまたは、これらの組み合わせなどを個体識別情報として生成する。 Further, in another aspect, the individual identification information generation unit 113 is one of the positional relationship and relative relationship between the identification information pattern and the article specific pattern, coordinate data, shape data, feature amount data, or a combination thereof. Is generated as individual identification information.
　登録部１１４は、個体識別情報生成部１１３が生成した個体識別情報と、個体識別情報の抽出元である画像データに含まれる識別情報パターンと対応づけて、記憶装置へ登録する。記憶装置は、個体識別情報生成装置のなかのメモリであってもよいが、外部の記憶装置であってもよい。一つの態様では、登録部１１４は、物品判定装置１２０の記憶部にネットワークを介して個体識別情報と識別情報パターンとを送信して登録する。 The registration unit 114 registers the individual identification information generated by the individual identification information generation unit 113 in the storage device in association with the identification information pattern included in the image data from which the individual identification information is extracted. The storage device may be a memory in the individual identification information generation device or an external storage device. In one aspect, the registration unit 114 transmits and registers individual identification information and an identification information pattern to the storage unit of the article determination device 120 via a network.
　識別情報生成部１１５は、物品に付与する識別情報パターンを生成する。生成する識別情報パターンは、例えば、二次元コードや一次元バーコードであり、一つの態様では、それぞれ物品個々に異なる番号情報、例えば、物品の製造番号を含んでいる。生成された識別情報パターンは物品に印刷等されることによって付与される。 The identification information generation unit 115 generates an identification information pattern to be given to the article. The identification information pattern to be generated is, for example, a two-dimensional code or a one-dimensional bar code, and in one aspect, includes different number information for each article, for example, a manufacturing number of the article. The generated identification information pattern is given by printing or the like on the article.
　物品判定装置１２０は、取得部１２１、識別情報抽出部１２２、歪み補正部１２３、個体識別情報生成部１２４、記憶部１２５、判定部１２６、通知部１２７を有する。 The article determination apparatus 120 includes an acquisition unit 121, an identification information extraction unit 122, a distortion correction unit 123, an individual identification information generation unit 124, a storage unit 125, a determination unit 126, and a notification unit 127.
　物品判定装置１２０は、一つの態様では、ハードウェア資源とソフトウェアの協働で実現され、例えばコンピュータである。具体的には、物品判定装置１２０の各種機能は、記録媒体に記録された個体識別情報生成プログラムがメインメモリに読み出されて制御装置（例えば、ＣＰＵなどのプロセッサ）によって実行されることで実現される。但し、物品判定装置１２０は、ハードウェアでのみ実現されていてもよい。また、物品判定装置１２０は、物理的に一つの装置により実現されてもよく、複数の装置により実現されていてもよい。 In one aspect, the article determination apparatus 120 is realized by the cooperation of hardware resources and software, and is, for example, a computer. Specifically, various functions of the article determination device 120 are realized by an individual identification information generation program recorded on a recording medium being read into a main memory and executed by a control device (for example, a processor such as a CPU). Is done. However, the article determination device 120 may be realized only by hardware. Further, the article determination device 120 may be physically realized by one device or may be realized by a plurality of devices.
　取得部１２１は、物品が有するデータを取得する。例えば、読取装置１３０が読み取った識別情報パターンを有する領域のデータを、読取装置１３０から取得する。 The acquisition unit 121 acquires data included in the article. For example, data of an area having an identification information pattern read by the reading device 130 is acquired from the reading device 130.
　識別情報抽出部１２２は、物品に付与された識別情報パターンを取得部１２１が取得したデータから抽出する。抽出する識別情報パターンは、例えば、二次元コードや一次元バーコードである。 The identification information extraction unit 122 extracts the identification information pattern given to the article from the data acquired by the acquisition unit 121. The identification information pattern to be extracted is, for example, a two-dimensional code or a one-dimensional barcode.
　歪み補正部１２３は、取得部１２１により取得されたデータの歪みを補正する。例えば、画像データである場合に、物品の状態や、画像取得時の撮影の向きなどによって、識別情報パターンを含んだ領域の画像がゆがみを有していることがある。歪み補正部１２３は、画像データの歪みやゆがみを補正する。補正方法は、画像データそのものの歪みを補正してもよく、また画像データの歪みを計算して、計算結果をもとに特徴点の正しい位置を計算する方法でもよい。一つの態様では、歪み補正部１２３は、画像データに含まれる識別情報パターンを利用して、識別情報パターンにおける中心位置、サイズ、回転角などを計算することで、歪みを補正する。 The distortion correction unit 123 corrects the distortion of the data acquired by the acquisition unit 121. For example, in the case of image data, the image of the region including the identification information pattern may be distorted depending on the state of the article, the shooting direction at the time of image acquisition, and the like. The distortion correction unit 123 corrects distortion and distortion of the image data. The correction method may correct the distortion of the image data itself, or may calculate the correct position of the feature point based on the calculation result by calculating the distortion of the image data. In one aspect, the distortion correction unit 123 corrects distortion by calculating the center position, size, rotation angle, and the like in the identification information pattern using the identification information pattern included in the image data.
　個体識別情報生成部１２４は、取得部１２１が取得したデータ、または歪み補正部１２３が歪み補正を行った後のデータから、識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する。一つの態様では、個体識別情報生成部１２４は、識別情報パターンと物品固有パターンとが重畳された領域を含む画像データそのものを個体識別情報として生成する。生成した個体識別情報は、判定部において物品の真贋判定に用いられる。 The individual identification information generation unit 124 extracts a pattern in which the identification information pattern and the article unique pattern are superimposed from the data acquired by the acquisition unit 121 or the data after the distortion correction unit 123 performs distortion correction. Generate identification information. In one aspect, the individual identification information generation unit 124 generates image data itself including an area where the identification information pattern and the article unique pattern are superimposed as individual identification information. The generated individual identification information is used in the determination unit for authenticity determination of the article.
　また、別の態様では、個体識別情報生成部１２４は、識別情報パターンと物品固有パターンとの位置関係や相対関係、座標データ、形状の情報、特徴量データなどを、そのうちの一つ又は組合せを個体識別情報として生成する。 Further, in another aspect, the individual identification information generation unit 124 selects one or a combination of the positional relationship and relative relationship between the identification information pattern and the article specific pattern, coordinate data, shape information, feature amount data, and the like. Generated as individual identification information.
　記憶部１２５は、個体識別情報と、識別情報パターンと対応づけて記憶している。記憶部１２５は、一つの態様では、個体識別情報生成装置１１０からネットワークを介して送信される個体識別情報と識別情報パターンとを対応づけて記憶するデータベースである。別の態様では、識別情報パターンから取得される情報と個体識別情報とを対応づけて記憶する。なお、記憶部１２５は、物品判定装置１２０内に限らず、物品判定装置に外部接続された記憶装置でもよい。接続方法は、ＬＡＮ、インターネット等どのような接続でもよい。 The storage unit 125 stores individual identification information and an identification information pattern in association with each other. In one embodiment, the storage unit 125 is a database that stores individual identification information and identification information patterns transmitted from the individual identification information generation device 110 via a network in association with each other. In another aspect, the information acquired from the identification information pattern and the individual identification information are stored in association with each other. The storage unit 125 is not limited to the inside of the article determination device 120, but may be a storage device externally connected to the article determination device. The connection method may be any connection such as a LAN or the Internet.
　判定部１２６は、記憶部１２５から識別情報抽出部１２２が抽出した識別情報パターンに対応する個体識別情報を読み出し、個体識別情報生成部１２４が生成した個体識別情報と比較し、比較結果に基づいて真贋を判定する。判定部１２６は、個体識別情報生成部１２４が生成した個体識別情報と記憶部１２５に記憶されている個体識別情報とが一致する場合には、物品が真（本物）であると判定し、一致しない場合には、偽物と判定する。 The determination unit 126 reads the individual identification information corresponding to the identification information pattern extracted by the identification information extraction unit 122 from the storage unit 125, compares it with the individual identification information generated by the individual identification information generation unit 124, and based on the comparison result. Judge authenticity. When the individual identification information generated by the individual identification information generation unit 124 matches the individual identification information stored in the storage unit 125, the determination unit 126 determines that the article is true (genuine) and matches. If not, it is determined to be fake.
　通知部１２６は、判定部１２５が判定した結果を通知する。例えば、読取装置１３０へ、真贋判定結果を、ネットワークを介して通知する。 The notification unit 126 notifies the result determined by the determination unit 125. For example, the authenticity determination result is notified to the reading device 130 via the network.
　読取装置１３０は、個体識別情報生成装置１１０により生成された識別情報パターンが付与された物品から、識別情報パターンが付与された領域を読み取る装置である。一つの態様では、読取装置１３０は、物品に印刷された一次元コード又は二次元コードの領域の画像データを読み取るものである。例えば、画像センサ、デジタルカメラ、スキャナなどである。なお読み取るデータは画像データに限らず、画像データ以外の情報、例えば磁気センサで読み取る磁性体の磁気パターンであってもよい。また、別の態様では、読取装置１３０は、画像データを読み取るだけではなく、符号化されている一次元コード又は二次元コードの情報を復号化する。例えば、カメラ付き携帯電話のカメラである。読取装置１３０が読み取ったデータは、個体識別情報を登録する場合には、個体識別情報生成装置１１０へ送信される。真贋判定の場合には、物品判定装置１２０へ送信される。 The reading device 130 is a device that reads an area to which an identification information pattern is assigned from an article to which an identification information pattern generated by the individual identification information generation device 110 is assigned. In one aspect, the reading device 130 reads image data of a one-dimensional code or two-dimensional code area printed on an article. For example, an image sensor, a digital camera, a scanner, or the like. The data to be read is not limited to image data, but may be information other than image data, for example, a magnetic pattern of a magnetic material read by a magnetic sensor. In another aspect, the reading device 130 not only reads image data but also decodes encoded one-dimensional code or two-dimensional code information. For example, the camera of a camera-equipped mobile phone. The data read by the reading device 130 is transmitted to the individual identification information generating device 110 when registering individual identification information. In the case of authenticity determination, it is transmitted to the article determination device 120.
　なお、読取装置１３０と、個体識別情報生成装置１１０をここでは、ネットワークを介した別の装置として構成しているが、これらを一つの装置として構成してもよい。また、同様に読取装置１３０と、物品判定装置１２０を一つの装置として構成してもよい。具体的な構成例として、カメラ付き携帯電話が考えられる。 Note that the reading device 130 and the individual identification information generation device 110 are configured as separate devices via a network here, but may be configured as a single device. Similarly, the reading device 130 and the article determination device 120 may be configured as one device. As a specific configuration example, a camera-equipped mobile phone can be considered.
　図２は、布に二次元コードを付与して個体識別情報を登録し、個体識別情報によって真贋判定を行うまでの流れの一例を示す図である。 FIG. 2 is a diagram showing an example of a flow from adding a two-dimensional code to a cloth to register individual identification information and performing authenticity determination based on the individual identification information.
　まず、個体識別情報生成装置１１０の識別情報生成部１１５が、識別情報を有する識別情報パターンである二次元コードを生成する（二次元コード生成）。識別情報は、例えば、物品個々に一意に付与される製造番号などのＩＤである。生成された二次元コードは、印刷装置等を用いて布に印刷される（布へ印刷）。 First, the identification information generation unit 115 of the individual identification information generation device 110 generates a two-dimensional code that is an identification information pattern having identification information (two-dimensional code generation). The identification information is, for example, an ID such as a production number uniquely assigned to each article. The generated two-dimensional code is printed on a cloth using a printing apparatus or the like (printing on the cloth).
　印刷された二次元コードは、読取装置１３０によって撮影される（撮影）。撮影されるときに、二次元コードだけでなく、その背景として物品固有パターンである布地も含めて撮影される。つまり、物品固有パターンである布地に識別情報パターンである二次元コードが印刷されることによって両方のパターンが重畳される。識別情報パターンと物品固有パターンとが重畳されることにより生成されるパターンの特徴情報に基づいて個体識別情報が生成される。読取装置１３０で取得された画像データは、個体識別情報生成装置１１０へ送信される。 The printed two-dimensional code is photographed by the reader 130 (photographing). When the image is taken, not only the two-dimensional code but also the cloth that is an article-specific pattern is taken as the background. That is, both patterns are superimposed by printing the two-dimensional code that is the identification information pattern on the fabric that is the article-specific pattern. The individual identification information is generated based on the feature information of the pattern generated by superimposing the identification information pattern and the article unique pattern. The image data acquired by the reading device 130 is transmitted to the individual identification information generating device 110.
　個体識別情報生成装置１１０の取得部１１１が、画像データを取得する。取得した画像データから、布の織目によって生じる凹凸と二次元コードとを利用して個体識別情報を抽出するが、印刷時の布の縮みや撮影条件によりそのイメージは歪みが生じている。そこで、歪み補正部１１２は、二次元コードが本来の正方形になるように画像の歪みを修正する（歪み修正）。歪みが修正された後に、個体識別情報生成部１１３が二次元コードと二次元コード内の布の凹凸に起因する個体識別情報を抽出し（特徴抽出）、登録部１１４が二次元コードとともに、例えば物品判定装置１２０の記憶部１２４に登録する（登録）。 The acquisition unit 111 of the individual identification information generation apparatus 110 acquires image data. Individual identification information is extracted from the acquired image data using unevenness caused by the texture of the cloth and a two-dimensional code, but the image is distorted due to shrinkage of the cloth at the time of printing and photographing conditions. Therefore, the distortion correction unit 112 corrects the distortion of the image so that the two-dimensional code becomes an original square (distortion correction). After the distortion is corrected, the individual identification information generation unit 113 extracts the two-dimensional code and the individual identification information caused by the unevenness of the cloth in the two-dimensional code (feature extraction), and the registration unit 114 together with the two-dimensional code, for example, Registration is performed in the storage unit 124 of the article determination device 120 (registration).
　次に、この布が含まれた物品が商品として店舗に置かれていた時に、購買者は例えば携帯電話のカメラなどの読取装置１３０を用いて、識別情報パターンが印刷された領域を撮影して、読み取る。読取装置１３０は、撮影した画像データを物品判定装置１２０に送って本物かどうかを問い合わせる。物品判定装置１２０は、画像データを取得部１２１で取得する。識別情報抽出部１２２で識別情報である二次元コードを抽出して、復号化するとともに、歪み補正部１２３で画像データの歪みを補正し、個体識別情報生成部１２４で識別情報パターンと物品固有パターンとが重畳されたパターンから構成される個体識別情報を抽出する（歪み補正、特徴抽出）。 Next, when the article containing the cloth is placed in the store as a product, the purchaser uses a reader 130 such as a mobile phone camera to photograph the area on which the identification information pattern is printed. ,read. The reading device 130 sends the photographed image data to the article determination device 120 and inquires whether it is genuine. The article determination device 120 acquires image data by the acquisition unit 121. The identification information extraction unit 122 extracts and decodes the two-dimensional code as the identification information, the distortion correction unit 123 corrects the distortion of the image data, and the individual identification information generation unit 124 identifies the identification information pattern and the article unique pattern. Individual identification information composed of a pattern in which and are superimposed is extracted (distortion correction, feature extraction).
　二次元コードが別の布にコピーされて物品が製造されていた場合（二次元コードコピー）は、物品固有パターンが違うことから、判定部１２５は、記憶部１２４より読み出した同じ識別情報パターンに対応する個体識別情報と比較し、一致しないため、偽物と判別する（比較）。通知部１２６は、偽物判定の結果を読取装置１３０へ通知する。 When the article is manufactured by copying the two-dimensional code to another cloth (two-dimensional code copy), the determination unit 125 uses the same identification information pattern read from the storage unit 124 because the article-specific pattern is different. Compared with the corresponding individual identification information, since it does not match, it is determined as a fake (comparison). The notification unit 126 notifies the reading device 130 of the result of the fake determination.
　二次元コードなどの識別情報は、物品ごとに異なるものが付与されるため、これをコピーして偽物を作った場合は、多くの物品が同じコードを持つことになる。このため、そのコードに対して不自然に多数の真贋判定問い合わせが物品判定装置１２０に発生することになる。そこで、判定部１２５は、同じ識別情報について所定回数以上の判定を行う場合には、比較することなく、偽物と判定してもよい。 Since different identification information such as a two-dimensional code is assigned to each article, if a fake is made by copying this, many articles will have the same code. For this reason, an unnatural number of authenticity determination queries are generated in the article determination device 120 for the code. Therefore, the determination unit 125 may determine that the same identification information is a fake without making a comparison when performing the determination more than a predetermined number of times.
　また、読取装置１３０をカメラ付き携帯電話で構成する場合であって、当該携帯電話がＧＰＳなどの機能を有し、携帯電話の位置情報を物品判定装置１２０に送信することが可能であれば、異なる場所から同じコードに対する真贋問い合わせが物品判定装置１２０になされることになる。従って、判定部１２５は、受信した位置情報を保持し比較することで、明らかにどちらか、あるいは両方が偽物であると判定することが可能となる。 In addition, when the reading device 130 is configured by a camera-equipped mobile phone, and the mobile phone has a function such as GPS, and the location information of the mobile phone can be transmitted to the article determination device 120, An authenticity inquiry about the same code is made to the article determination device 120 from different places. Therefore, the determination unit 125 can clearly determine that one or both are fake by holding and comparing the received position information.
　図３は、製品製造における個体識別情報生成装置の動作の一例を示すフローチャートである。以下、図３を参照して、布を含む製品を製造し、布に識別情報である二次元コードを付与する場合を例にとって説明する。 FIG. 3 is a flowchart showing an example of the operation of the individual identification information generation apparatus in product manufacture. Hereinafter, a case where a product including a cloth is manufactured and a two-dimensional code as identification information is given to the cloth will be described as an example with reference to FIG.
　個体識別情報生成装置１１０は、識別情報生成部１１５により一製品に一識別情報となるように、布ごとに二次元コードを作成する（Ｓ１１）。 The individual identification information generation device 110 creates a two-dimensional code for each cloth so that the identification information generation unit 115 provides one identification information for one product (S11).
　識別情報生成部１１５が生成した二次元コードは、印刷装置等により布に印刷して付与する（Ｓ１２）。 The two-dimensional code generated by the identification information generation unit 115 is printed on a cloth by a printing device or the like (S12).
　読取装置１３０は、布に付与された二次元コードを有する領域を撮影することで画像データを取得する（Ｓ１３）。画像データは、個体識別情報生成装置１１０へ送信される。 The reading device 130 acquires image data by photographing an area having a two-dimensional code attached to the cloth (S13). The image data is transmitted to the individual identification information generation device 110.
　取得部１１１は、画像データを取得し、歪み補正部１１２が取得画像の歪みを識別情報生成部が生成した二次元コードパターンを利用して修正する（Ｓ１４）。 The acquisition unit 111 acquires image data, and the distortion correction unit 112 corrects the distortion of the acquired image using the two-dimensional code pattern generated by the identification information generation unit (S14).
　個体識別情報生成部１１３は、歪み補正された修正画像から物品固有パターンと識別情報パターンとが重畳されたパターンを有する領域の布の特徴情報を抽出して、個体識別情報を生成する（Ｓ１５）。 The individual identification information generation unit 113 extracts the feature information of the cloth in the region having the pattern in which the article unique pattern and the identification information pattern are superimposed from the corrected image subjected to distortion correction, and generates individual identification information (S15). .
　登録部１１４は、識別情報パターンである二次元コードと個体識別情報である特徴情報を、例えば、物品判定装置１２０の記憶部１２５のデータベースに保存する（Ｓ１６）。 The registration unit 114 stores the two-dimensional code that is the identification information pattern and the feature information that is the individual identification information, for example, in the database of the storage unit 125 of the article determination device 120 (S16).
　図４は、物品の真贋判定時における物品判定装置の動作の一例を示すフローチャートである。以下、図４を参照して、布に付与された二次元コードを用いて物品の真贋判定を行う場合を例にとって説明する。 FIG. 4 is a flowchart showing an example of the operation of the article determination apparatus when determining the authenticity of an article. Hereinafter, with reference to FIG. 4, the case where the authenticity determination of an article | item is performed using the two-dimensional code provided to cloth is demonstrated as an example.
　ユーザが物品の布に付与された二次元コードの領域を読取装置１３０により撮影し、撮影した二次元コードの画像データを物品判定装置へ送信する。物品判定装置の取得部１２１は、例えばインターネットを介して、二次元コードの画像データを受信する（Ｓ２１）。 The user captures the area of the two-dimensional code given to the cloth of the article with the reading device 130, and transmits the image data of the photographed two-dimensional code to the article determination device. The acquisition unit 121 of the article determination apparatus receives image data of a two-dimensional code via, for example, the Internet (S21).
　物品判定装置は、歪み補正部で画像データに含まれる二次元コードを利用して画像が有している歪みを補正する（Ｓ２２）。 The article determination apparatus corrects the distortion of the image using the two-dimensional code included in the image data in the distortion correction unit (S22).
　物品判定装置は、個体識別情報生成部で歪みが補正された後の画像データから、識別情報パターンである二次元コードと物品固有パターンである布目とが重畳されることで構成される特徴情報を抽出して個体識別情報を生成する（Ｓ２３）。 The article determination apparatus obtains feature information configured by superimposing a two-dimensional code that is an identification information pattern and a cloth that is an article-specific pattern from image data after distortion is corrected by the individual identification information generation unit. Extraction is performed to generate individual identification information (S23).
　物品判定装置は、識別情報抽出部において、画像データから二次元コードを抽出し、判定部において抽出された二次元コードに対応する特徴情報である個体識別情報を記憶部のデータベースから読み出す（Ｓ２４）。 The article determination device extracts a two-dimensional code from the image data in the identification information extraction unit, and reads individual identification information, which is characteristic information corresponding to the two-dimensional code extracted in the determination unit, from the database in the storage unit (S24). .
　判定部は、記憶部のデータベースから読み出した個体識別情報と、個体識別情報生成部で特徴抽出して生成された個体識別情報とを比較する（Ｓ２５）。 The determination unit compares the individual identification information read from the database in the storage unit with the individual identification information generated by extracting the features of the individual identification information generation unit (S25).
　判定部は、２つの個体識別情報が一致するかどうか判定する（Ｓ２６）。判定部が、一致すると判定した場合、通知部は、その物品が本物であるとしてユーザの読取装置へ通知する（Ｓ２７）。判定部が一致しないと判定した場合、通知部は、その物品が偽物であるとしてユーザの読取装置へ通知する（Ｓ２８）。 The determination unit determines whether the two pieces of individual identification information match (S26). When the determination unit determines that they match, the notification unit notifies the reading device of the user that the article is genuine (S27). When it is determined that the determination units do not match, the notification unit notifies the reading device of the user that the article is fake (S28).
　図５は、布に二次元コードを印刷した場合の一例である。この例では、布は縦横に規則正しく織られており、そこに二次元コードが黒く印刷されている。印刷された識別情報である二次元コードと、物品固有パターンである布の織目パターンとが重畳されたパターンに基づいて個別識別情報が生成される。 Fig. 5 shows an example of printing a two-dimensional code on a cloth. In this example, the cloth is woven regularly in the vertical and horizontal directions, and the two-dimensional code is printed in black there. The individual identification information is generated based on a pattern in which the two-dimensional code that is the printed identification information and the fabric texture pattern that is the article-specific pattern are superimposed.
　図６は、二次元コードが印刷されていない部分の布の織目を抜き出した場合の一例である。印刷された二次元コードのパターンと各製品の布固有の目の位置や数との関係を特徴情報として抽出することで、各製品の個体識別情報を生成することができる。 FIG. 6 shows an example in which the fabric texture of the portion where the two-dimensional code is not printed is extracted. Individual identification information for each product can be generated by extracting the relationship between the printed two-dimensional code pattern and the position and number of eyes unique to each product as feature information.
　図７は、布に印刷された二次元コードを撮影した画像データを画像処理で二値化した場合の一例である。布には細かな凹凸の形状があるため、二次元コードを印刷した場合に、印刷ムラが生じる。印刷ムラによって生じた黒い部分の中に白く浮き出たパターンを、例えば、個体識別情報とすることも可能である。また、識別情報パターンである二次元コードが付与された領域を印刷された二次元コードを利用することで、個体識別情報を抽出すべき領域も簡単にかつ正確に特定することができる。 FIG. 7 shows an example in which image data obtained by photographing a two-dimensional code printed on a cloth is binarized by image processing. Since the cloth has a fine uneven shape, uneven printing occurs when a two-dimensional code is printed. A pattern that appears white in a black portion caused by uneven printing can be used as individual identification information, for example. Further, by using the two-dimensional code printed on the region to which the two-dimensional code as the identification information pattern is applied, the region where the individual identification information is to be extracted can be easily and accurately specified.
　図８は、布に印刷された二次元コードを撮影した場合の一例である。物品固有パターンである布の凹凸のパターンを取得する方法の一つが、カメラによる撮影である。布に印刷された二次元コードを撮影した場合、撮影の向きや布の置き方、印刷時の変形によって、撮影により取得された二次元コードが様々に歪んでしまう。また、洗濯や経年変化等によって、布に印刷された二次元コード自体が変形してしまうことも考えられる。そこで、本発明の一つの態様では歪み補正部（１１２又は１２３）において取得した画像データの歪みを原形が既知である二次元コードを利用して補正することで、正しい個体識別情報を抽出できるようにしている。 FIG. 8 is an example when a two-dimensional code printed on a cloth is photographed. One of the methods for obtaining the uneven pattern of the cloth, which is an article-specific pattern, is photographing with a camera. When a two-dimensional code printed on a cloth is photographed, the two-dimensional code obtained by photographing is distorted variously depending on the direction of photographing, how to place the cloth, and deformation during printing. It is also conceivable that the two-dimensional code itself printed on the cloth is deformed due to washing or aging. Therefore, in one aspect of the present invention, correct individual identification information can be extracted by correcting distortion of image data acquired by the distortion correction unit (112 or 123) using a two-dimensional code whose original form is known. I have to.
　画像データの歪みを補正する方法について、二次元コードを例にとって具体的に説明する。図９は、二次元コードの位置決めパターンの一例を示す図である。二次元コードの場合、３ヶ所のコーナーに、Finder patternと呼ばれる正方形ブロックが置かれている。歪み補正部１１２又は１２３は、取得された画像をスキャンして黒:白:黒:白:黒の比率が１:１:３:１:１となる場所から３つのFinder patternの中心点の座標、二次元コードのサイズ、回転角等を求める。 A method for correcting distortion of image data will be specifically described taking a two-dimensional code as an example. FIG. 9 is a diagram illustrating an example of a positioning pattern of a two-dimensional code. In the case of a two-dimensional code, square blocks called Finder patterns are placed at three corners. The distortion correction unit 112 or 123 scans the acquired image, and coordinates of the center points of the three Finder patterns from the place where the ratio of black: white: black: white: black is 1: 1: 3: 1: 1 Determine the size, rotation angle, etc. of the two-dimensional code.
　３つのFinder patternの中心点の座標、二次元コードのサイズ、回転角等の情報を元に、歪み補正部（１１２、１２３）は、さらに黒:白:黒:白:黒の比率が１:１:１:１:１の正方形ブロックAlignment patternの中心点の座標を算出する。そして、これらの情報を元に、元のＱＲコード（登録商標）のパターンの基本単位である１×１の正方形の白黒パターンの中心を通るようにグリッドを生成する。なお、画像はゆがんでいるため、Finder patternとAlignment patternの位置関係に基づいてゆがんだグリッドが生成されることになる。そして、このグリッドの各交点の色を読み取る。 Based on information such as the coordinates of the center point of the three Finder patterns, the size of the two-dimensional code, and the rotation angle, the distortion correction unit (112, 123) further increases the ratio of black: white: black: white: black to 1: The coordinates of the center point of the 1: 1: 1: 1 square block Alignment pattern are calculated. Based on these pieces of information, a grid is generated so as to pass through the center of a 1 × 1 square black-and-white pattern, which is the basic unit of the original QR code (registered trademark) pattern. Since the image is distorted, a distorted grid is generated based on the positional relationship between the Finder pattern and the Alignment pattern. And the color of each intersection of this grid is read.
　図１０は、大きな二次元コードの場合のグリッド生成の一例を示す図である。二次元コードは複数のサイズが存在し、大きな物は歪みも大きくなる。そこで、大きな二次元コードの場合には、Alignment patternを複数用意し、二次元コードを分割して、その各エリア内でグリッドを生成してもよい。図１０の例では、４分割している。 FIG. 10 is a diagram showing an example of grid generation in the case of a large two-dimensional code. A two-dimensional code has a plurality of sizes, and a large object has a large distortion. Therefore, in the case of a large two-dimensional code, a plurality of alignment patterns may be prepared, the two-dimensional code may be divided, and a grid may be generated in each area. In the example of FIG. 10, it is divided into four.
　この二次元コード読み取り方法では、撮影画像の歪みを直すのではなく、読み取り位置を歪みに合わせて計算している。しかし、本来の１×１の正方形に対応したグリッドが生成できるので、そのグリッドを正方形となるように変形しながら対応する画像ブロックを正方形に変形して歪みを補正することが可能である。また画像から二次元コードを読み取り、歪み補正部でグリッドを作成する時には、各グリッドの交点の色は不明である。しかし、本発明の画像の歪み修正においては、二次元コードの１×１全単位ブロックの正確なパターンが記憶部のデータベースに保存されているため、これを用いることでより細かいブロックの歪みの修正を行うことが可能である。 This 2D code reading method calculates the reading position according to the distortion instead of correcting the distortion of the captured image. However, since a grid corresponding to the original 1 × 1 square can be generated, it is possible to correct the distortion by deforming the grid so as to be a square and transforming the corresponding image block into a square. Also, when a two-dimensional code is read from an image and a grid is created by the distortion correction unit, the color of the intersection of each grid is unknown. However, in the image distortion correction of the present invention, since the exact pattern of 1 × 1 all unit blocks of the two-dimensional code is stored in the database of the storage unit, using this, the finer block distortion correction can be performed. Can be done.
　図１１は、布に印刷された二次元コードの印刷ムラの画像の一例を示す図である。図１１ａは、布の凸凹によって生じた二次元コードのFinder patternにおける印刷ムラを２値化した画像である。なお、既に歪み修正は済んでおり、グリッド線が重ねて表示してある。図１１ｂの画像は、その画像のうち、Finder patternの３×３の部分を拡大したもので、各１×１基本ブロックの中の凹凸により生じた白い点の数を数字で示している。図１１ｃの画像は、各白点の中心位置を基本ブロックの中心からの距離と方向という特徴によってベクトル表示したものである。 FIG. 11 is a diagram showing an example of an image of uneven printing of a two-dimensional code printed on a cloth. FIG. 11 a is an image obtained by binarizing the printing unevenness in the Finder pattern of the two-dimensional code caused by the unevenness of the cloth. Note that the distortion has already been corrected, and the grid lines are displayed in an overlapping manner. The image of FIG. 11b is an enlarged view of the 3 × 3 portion of the Finder pattern in the image, and the number of white spots caused by the unevenness in each 1 × 1 basic block is indicated by a number. The image of FIG. 11c is a vector display of the center position of each white point by the feature of distance and direction from the center of the basic block.
　図１２は、図１１と同じ物品の布のFinder patternを図１１とは異なる日に撮影した画像の一例を示す図であり、図１１と同様に、図１２ａが２値化画像、図１２ｂが各１×１基本ブロックの中の凹凸により生じた白い点の数を数字で示した画像、図１２ｃが、各白点の中心位置を基本ブロックの中心からベクトル表示した画像である。 FIG. 12 is a diagram showing an example of an image obtained by shooting the Finder pattern of the same article cloth as in FIG. 11 on a different day from FIG. 11. FIG. 12a shows a binarized image and FIG. An image showing the number of white dots generated by the unevenness in each 1 × 1 basic block as a number, FIG. 12c is an image in which the center position of each white point is displayed as a vector from the center of the basic block.
　図１３は図１１とは別の物品の布のFinder patternを図１１と同じ日に撮影した画像の一例を示す図である。図１３ａは、別の物品の布の２値化画像、図１３ｂは図１３ａの画像における各１×１基本ブロックの中の凹凸により生じた白い点の数を数字で示した画像、図１３ｃは、図１３ａにおける各白点の中心位置を基本ブロックの中心からベクトル表示した画像である。 FIG. 13 is a diagram showing an example of an image taken on the same day as FIG. 11 of the Finder pattern of the cloth of the article different from FIG. FIG. 13a is a binarized image of the cloth of another article, FIG. 13b is an image showing the number of white dots caused by irregularities in each 1 × 1 basic block in the image of FIG. 13a, and FIG. 13B is an image in which the center position of each white point in FIG. 13A is displayed as a vector from the center of the basic block.
　図１１ｂ、図１２ｂ、図１３ｂの画像では、各１×１基本ブロックの中の白い点の数を数字で示している。この数は、印刷した二次元コードの基本ブロックと物品固有パターンとの位置関係によって定義された個体識別情報の特徴情報の一例である。図１１ｂと図１２ｂは一致し、図１３ｂは別物であることが点の数から明らかである。 In the images of FIGS. 11b, 12b, and 13b, the number of white dots in each 1 × 1 basic block is indicated by a number. This number is an example of the feature information of the individual identification information defined by the positional relationship between the basic block of the printed two-dimensional code and the article unique pattern. It is clear from the number of points that FIG. 11b and FIG. 12b coincide and FIG. 13b is different.
　図１１ｃ、図１２ｃ、図１３ｃの画像では、各白点の中心位置を基本ブロックの中心からの距離と方向という特徴によってベクトル表示している。ベクトル情報は、印刷した二次元コードの基本ブロックと物品固有パターンとの位置関係によって定義された個体識別情報の特徴情報の一例である。この場合、判定部において、２つの画像間でこのベクトルの一致度を計算することで、白点の個数の場合よりも高い精度の真贋判定が可能となる。　 In the images of FIG. 11c, FIG. 12c, and FIG. 13c, the center position of each white point is displayed as a vector by the feature of distance and direction from the center of the basic block. The vector information is an example of feature information of individual identification information defined by the positional relationship between the basic block of the printed two-dimensional code and the article unique pattern. In this case, by calculating the degree of coincidence of the vectors between the two images in the determination unit, it is possible to determine the authenticity with higher accuracy than in the case of the number of white spots. *
　従って、図１１の画像又は特徴情報が記憶部のデータベースに登録されていた場合に、図１２の画像を受信し、識別情報が図１１と一致し、判定部で比較する場合には、本物であるとの判定がなされることとなる。また、図１３の画像を受信し、識別情報が図１１と一致し、判定部で比較する場合には、偽物であるとの判定がなされることになる。 Therefore, when the image or feature information of FIG. 11 is registered in the database of the storage unit, the image of FIG. 12 is received, and when the identification information matches that of FIG. It is determined that there is. Further, when the image of FIG. 13 is received and the identification information matches that of FIG. 11 and compared by the determination unit, it is determined that the image is fake.
　なお、ここでは二次元コードを例にとって説明したが、二次元コードに限らずバーコード等、他のコードを本発明に用いることが可能である。また、物品の布に二次元コードを印刷する場合を例にとって説明したが、これに限らず、皮革、紙等、他の材質に二次元コードやバーコード等のコードを付与することで適用可能である。さらに、歪み補正方法や特徴情報の抽出方法についても、実施例に限られるものではない。 Note that the two-dimensional code has been described as an example here, but other codes such as a bar code can be used in the present invention. In addition, the case where a two-dimensional code is printed on the cloth of the article has been described as an example. However, the present invention is not limited to this, and can be applied by attaching a code such as a two-dimensional code or a barcode to other materials such as leather and paper. It is. Further, the distortion correction method and the feature information extraction method are not limited to the embodiments.
１００　物品判定システム
１１０　個体識別情報生成装置
１１１　取得部
１１２　歪み補正部
１１３　個体識別情報生成部
１１４　登録部
１１５　識別情報生成部
１２０　物品判定装置
１２１　取得部
１２２　識別情報抽出部
１２３　歪み補正部
１２４　個体識別情報生成部
１２５　記憶部
１２６　判定部
１２７　通知部
１３０　読取装置 100 article determination system 110 individual identification information generation device 111 acquisition unit 112 distortion correction unit 113 individual identification information generation unit 114 registration unit 115 identification information generation unit 120 article determination device 121 acquisition unit 122 identification information extraction unit 123 distortion correction unit 124 individual identification Information generation unit 125 Storage unit 126 Determination unit 127 Notification unit 130 Reading device

Claims (13)

  1. 　識別情報パターンを生成する識別情報生成手段と、
    　物品の、前記識別情報パターンが付与された領域のデータを取得する取得手段と、
    　前記取得手段が取得した領域データから、前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、
    　を有する物品の個体識別情報生成装置。     Identification information generating means for generating an identification information pattern;
    Obtaining means for obtaining data of an area of the article to which the identification information pattern is attached;
    Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern are superimposed from the area data acquired by the acquisition means;
    An apparatus for generating individual identification information of an article.
  2. 　前記個体識別情報生成手段は、前記識別情報パターンと物品固有パターンとが重畳されたパターンによる特徴情報を個体識別情報として生成する、請求項１記載の物品の個体識別情報生成装置。 2. The article individual identification information generating apparatus according to claim 1, wherein the individual identification information generating means generates, as individual identification information, feature information based on a pattern in which the identification information pattern and the article unique pattern are superimposed.
  3. 　生成した個体識別情報と、前記識別情報パターンとを対応づけて記憶部へ登録する登録手段をさらに有する、請求項１記載の物品の個体識別情報生成装置。 The apparatus for generating individual identification information of an article according to claim 1, further comprising registration means for associating the generated individual identification information with the identification information pattern and registering the identification information pattern in a storage unit.
  4. 　さらに取得された領域データの歪みを補正する歪み補正手段を有し、
    　前記個体識別情報生成手段は、前記歪み補正手段が修正した領域データから前記識別情報パターンと物品固有パターンとの組み合わせを抽出して生成する、請求項１～３記載の物品の個体識別情報生成装置。     Furthermore, it has a distortion correction means for correcting distortion of the acquired area data,
    4. The article individual identification information generating apparatus according to claim 1, wherein the individual identification information generating means extracts and generates a combination of the identification information pattern and the article unique pattern from the area data corrected by the distortion correction means. .
  5. 　前記識別情報生成手段は、バーコード又は二次元コードを生成する、請求項１～４記載の物品の個体識別情報生成装置。 5. The individual identification information generating device for an article according to claim 1, wherein the identification information generating means generates a barcode or a two-dimensional code.
  6. 　物品の識別情報パターンが付与された領域のデータを取得するステップ、
    　取得した領域データから、前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成するステップ、とを有する物品の個体識別情報生成方法。     Obtaining data of a region to which an identification information pattern of an article is attached;
    An individual identification information generation method for an article, comprising: extracting a pattern in which the identification information pattern and the article unique pattern are superimposed from the acquired area data to generate individual identification information.
  7. 　物品に付与された識別情報パターンを有する領域のデータを取得する取得手段と、
    　前記取得したデータに含まれる前記識別情報パターンを抽出する識別情報抽出手段と、
    　前記取得手段が取得したデータに含まれる前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、
    　識別情報パターンと個体識別情報とを対応づけて記憶する記憶手段と、
    　前記記憶手段から前記識別情報抽出手段が抽出した前記識別情報パターンに対応する個体識別情報を読み出し、前記個体識別情報生成手段が生成した個体識別情報と比較し、比較結果に基づいて、物品の真贋を判定する判定手段と、を有する物品判定装置。     Obtaining means for obtaining data of an area having an identification information pattern given to an article;
    Identification information extraction means for extracting the identification information pattern included in the acquired data;
    Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern included in the data acquired by the acquisition means are superimposed;
    Storage means for storing the identification information pattern and the individual identification information in association with each other;
    The individual identification information corresponding to the identification information pattern extracted by the identification information extraction unit is read from the storage unit, compared with the individual identification information generated by the individual identification information generation unit, and the authenticity of the article is determined based on the comparison result. And an article determination device.
  8. 　前記取得手段が取得したデータは、画像データであって、
    　さらに前記取得手段が取得した画像データの歪みを補正する歪み補正手段を有し、
    　前記個体識別情報生成手段は、歪み補正した画像データから前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出する、
    請求項７記載の物品判定装置。     The data acquired by the acquisition means is image data,
    Furthermore, it has distortion correction means for correcting distortion of the image data acquired by the acquisition means,
    The individual identification information generating means extracts a pattern in which the identification information pattern and the article unique pattern are superimposed from the distortion corrected image data.
    The article determination apparatus according to claim 7.
  9. 　前記個体識別情報生成手段は、前記識別情報パターンと前記物品固有パターンとが重畳されたパターンによる特徴情報を個体識別情報として抽出する、請求項７又は８記載の物品判定装置。 9. The article determination apparatus according to claim 7 or 8, wherein the individual identification information generating means extracts feature information based on a pattern in which the identification information pattern and the article unique pattern are superimposed as individual identification information.
  10. 　前記記憶手段に記憶される個体識別情報は、前記識別情報パターンと前記物品固有パターンの座標データ、画像データ、形状データ、特徴量データ、のいずれか一つであることを特徴とする請求項７～９記載の物品判定装置。 The individual identification information stored in the storage means is any one of coordinate data, image data, shape data, and feature data of the identification information pattern and the article specific pattern. The article determination apparatus according to any one of items 9 to 9.
  11. 　さらに、判定手段が判定した判定結果を通知する通知手段を有する請求項７～１０記載の物品判定装置。 11. The article determination apparatus according to claim 7, further comprising notification means for notifying the determination result determined by the determination means.
  12. 　物品に付与された識別情報パターンを有する領域のデータを取得するステップ、
    　前記取得したデータに含まれる前記識別情報パターンを抽出するステップ、
    　取得したデータに含まれる前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成するステップ、
    　識別情報パターンと個体識別情報とを対応づけて記憶する記憶部から抽出した前記識別情報パターンに対応する個体識別情報を読み出し、生成した個体識別情報と比較し、比較結果に基づいて、物品の真贋を判定するステップと、を有する物品判定方法。     Obtaining data of an area having an identification information pattern given to an article;
    Extracting the identification information pattern included in the acquired data;
    Generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern included in the acquired data are superimposed;
    The individual identification information corresponding to the identification information pattern extracted from the storage unit that stores the identification information pattern and the individual identification information in association with each other is read, compared with the generated individual identification information, and the authenticity of the article is determined based on the comparison result. A method for determining an article.
  13. 　物品の真贋を判定するための物品判定システムであって、
    　物品の個体識別情報を生成する物品の個体識別情報生成装置と、物品の真贋を判定する物品判定装置とを有し、
    　前記物品の個体識別情報生成装置は、
    　識別情報パターンを生成する識別情報生成手段と、
    　物品の識別情報パターンが付与された領域のデータを取得する取得手段と、
    　前記取得手段が取得した領域データから、前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、を有し、
    　前記物品判定装置は、
    　物品に付与された識別情報パターンを有する領域のデータを取得する取得手段と、
    　前記取得したデータに含まれる前記識別情報パターンを抽出する識別情報抽出手段と、
    　前記取得手段が取得したデータに含まれる前記識別情報パターンと物品固有パターンとが重畳されたパターンを抽出して個体識別情報を生成する個体識別情報生成手段と、
    　識別情報パターンと個体識別情報とを対応づけて記憶する記憶手段と、
    　前記記憶手段から前記識別情報抽出手段が抽出した前記識別情報パターンに対応する個体識別情報を読み出し、前記個体識別情報生成手段が生成した個体識別情報と比較し、比較結果に基づいて、物品の真贋を判定する判定手段と、
    　を有する物品判定システム。     An article determination system for determining the authenticity of an article,
    An individual identification information generation device for an article that generates individual identification information of the article, and an article determination device that determines the authenticity of the article,
    The individual identification information generating device for the article is
    Identification information generating means for generating an identification information pattern;
    Obtaining means for obtaining data of an area to which an identification information pattern of an article is attached;
    Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern are superimposed from the area data acquired by the acquisition means,
    The article determination device includes:
    Obtaining means for obtaining data of an area having an identification information pattern given to an article;
    Identification information extraction means for extracting the identification information pattern included in the acquired data;
    Individual identification information generating means for generating individual identification information by extracting a pattern in which the identification information pattern and the article unique pattern included in the data acquired by the acquisition means are superimposed;
    Storage means for storing the identification information pattern and the individual identification information in association with each other;
    The individual identification information corresponding to the identification information pattern extracted by the identification information extraction unit is read from the storage unit, compared with the individual identification information generated by the individual identification information generation unit, and the authenticity of the article is determined based on the comparison result. Determining means for determining
    An article determination system.
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