WO2023188681A1

WO2023188681A1 - Determination system and authenticity determination method of determination code

Info

Publication number: WO2023188681A1
Application number: PCT/JP2023/000411
Authority: WO
Inventors: 裕次高橋; 真也茄子田; 智弥大迫
Original assignee: 日本発條株式会社
Priority date: 2022-03-31
Filing date: 2023-01-11
Publication date: 2023-10-05
Also published as: JP2023151387A

Abstract

This determination system comprises: an image processing unit that extracts a plurality of regions from a first image obtained by capturing a first identifier of a determination code including the first identifier and a second identifier; a feature amount data generation unit that generates first feature amount data including the feature amount of each of the plurality of regions; an identification information obtaining unit that obtains second identification information from a second image obtained by capturing the second identifier of the determination code; and a determination unit that identifies first identification information indicated by the first identifier based on the first feature amount data, and determines the correspondence relationship between the first identification information and the second identification information.

Description

Verification system and method for determining authenticity of verification code

One embodiment of the present invention relates to a determination system that determines the authenticity of a determination code. Further, one embodiment of the present invention relates to a method for determining the authenticity of a determination code.

With the globalization of products, the number of counterfeit products is increasing, and elaborately imitated counterfeit products are also being distributed. Elaborately imitated counterfeits are often difficult to distinguish from genuine products by visual inspection alone. Therefore, it is determined whether or not the product to which the judgment label is attached is a genuine product by attaching a judgment label to the product and determining the authenticity of the judgment label.

A QR code (registered trademark) is sometimes used as such a determination label. Since a QR code can contain various information, it can not only determine authenticity but also provide information about products. However, since the cells of the QR code are formed by a simple array of dots, the QR code can be easily copied using a copy machine or the like. Therefore, the authenticity determination using a determination label using a QR code has not been sufficient from the viewpoint of preventing counterfeit products.

Additionally, a hologram may be used as the determination label. Since holograms are difficult to copy using a copy machine or the like, they are widely used as a countermeasure against counterfeit products such as credit cards, banknotes, and securities. Therefore, a determination label using a hologram has higher accuracy in determining authenticity than a determination label using a QR code. Further, as a judgment label used for determining authenticity, not only a hologram but also a judgment label on which characters or a QR code are printed is known (see, for example, Patent Document 1).

Japanese Patent Application Publication No. 2012-173300

With conventional identification labels using holograms, the hologram is visually confirmed by the user making the authentication, so the results of the authentication often depend on the user. In Patent Document 1, by associating the identification information of the hologram with the QR code, it is possible to check whether the QR code is a hologram. However, in Patent Document 1 as well, since the hologram is visually confirmed by the user, a label forged using a similar hologram and a copied QR code may be determined to be genuine. .

In view of the above-mentioned problems, an embodiment of the present invention has an object to provide a determination system that determines the authenticity of a determination code that includes an identifier that provides visual information. Another object of an embodiment of the present invention is to provide a method for determining the authenticity of a determination code that includes an identifier that provides visual information.

A determination system according to an embodiment of the present invention includes: an image processing unit that extracts a plurality of regions from a first image obtained by photographing a first identifier of a determination code including a first identifier and a second identifier; a feature data generation unit that generates first feature data including feature quantities of each area; and an identification information acquisition unit that obtains second identification information from a second image obtained by photographing a second identifier of the determination code. and a determination unit that identifies the first identification information indicated by the first identifier based on the first feature data and determines the correspondence between the first identification information and the second identification information.

The determination unit may generate determination result information indicating that the determination code is genuine when the first identification information and the second identification information match.

The first identification information may be specified by determining the degree of similarity between the registered feature data registered in advance in the database and the first feature data.

A determination system according to an embodiment of the present invention includes a first identifier divided into n areas (n is a natural number) and an n-th second identifier assigned to each of the n-th areas of the first identifier. From the image obtained by photographing the n-th area and the n-th second identifier of the included determination code, the n-th first image corresponding to the n-th area and the n-th image corresponding to the n-th second identifier are obtained. an image processing unit that extracts a second image and extracts a plurality of regions from the n-th first image; and n-th first feature amount data including feature amounts of each of the plurality of regions of the n-th first image. an identification information acquisition unit that acquires the n-th second identification information from the n-th second image; and an identification information acquisition unit that acquires the n-th second identification information from the n-th second image; A determination unit that identifies the nth first identification information and determines the correspondence between the nth first identification information and the nth second identification information.

The determination unit may generate a determination result indicating that the determination code is genuine when the nth first identification information and the nth second identification information match in all of the n areas.

The determination unit may generate a determination result indicating that the determination code is genuine when the nth first identification information and the nth second identification information match in a predetermined area.

The predetermined area may be multiple areas.

The n-th first identification information may be specified by determining the degree of similarity between the registered feature data registered in advance in the database and the n-th first feature data.

The registered feature amount data may include a plurality of feature amounts having different angles in the photographing direction.

The determination system further includes a sensor unit that detects the angle of the photographing direction and generates angle data, and the determination unit selects one of the plurality of angles of the registered feature amount data based on the angle data. Good too.

The registered feature data may include a plurality of features with different light irradiation intensities.

The feature amount may be generated based on the pixel values of multiple pixels included in the region.

The feature amount may be expressed in RGB values. Further, the feature amount may be expressed as a grayscale value. Further, the feature amount may be expressed in black and white binary values.

The first identifier may be a hologram.

The second identifier may be a QR code (registered trademark).

A method for determining the authenticity of a determination code according to an embodiment of the present invention is a method for determining the authenticity of a determination code including a first identifier and a second identifier, the first image being obtained by photographing the first identifier of the determination code. A plurality of regions are extracted from the plurality of regions, first feature amount data including feature amounts of each of the plurality of regions is generated, and second identification information is obtained from a second image obtained by photographing a second identifier of the determination code. , the first identification information indicated by the first identifier is specified based on the first feature amount data, and the correspondence relationship between the first identification information and the second identification information is determined.

In determining the correspondence relationship, if the first identification information and the second identification information match, determination result information indicating that the determination code is genuine may be generated.

The first identification information may be identified by determining the degree of similarity between registered feature data registered in advance in the database and the first feature data.

A method for determining the authenticity of a determination code according to an embodiment of the present invention includes a first identifier divided into n areas (n is a natural number) and an n-th area assigned to each of the n-th areas of the first identifier. A method for determining the authenticity of a determination code including a second identifier, wherein an n-th first image corresponding to the n-th area and an n-th first image corresponding to the n-th area and an n-th first image corresponding to the n-th area are Extract the n-th second image corresponding to the n-th second identifier, extract a plurality of regions from the n-th first image, and extract the n-th first feature data is generated, n-th second identification information is acquired from the n-th second image, and n-th first identification information is generated based on the n-th first feature data. The identification information is specified, and the correspondence relationship between the n-th first identification information and the n-th second identification information is determined.

In determining the correspondence relationship, if the n-th first identification information and the n-th second identification information match in all n areas, even if determination result information indicating that the determination code is genuine is generated. good.

In determining the correspondence relationship, if the n-th first identification information and the n-th second identification information match in a predetermined area, a determination result indicating that the determination code is genuine may be generated.

The identification of the n-th first identification information may be performed by determining the degree of similarity between the registered feature amount data registered in advance in the database and the first feature amount data.

A determination system according to an embodiment of the present invention generates first feature data including a histogram of pixel values of a first image obtained by photographing a first identifier of a determination code including a first identifier and a second identifier. an identification information acquisition section that acquires second identification information from a second image obtained by photographing the second identifier of the determination code; and a determination unit that identifies the first identification information and determines the correspondence between the first identification information and the second identification information.

A method for determining the authenticity of a determination code according to an embodiment of the present invention is a method for determining the authenticity of a determination code including a first identifier and a second identifier, the first image being obtained by photographing the first identifier of the determination code. generate first feature data including a histogram of pixel values, obtain second identification information from a second image obtained by photographing the second identifier of the determination code, and generate the first identifier based on the first feature data. The first identification information indicated by is identified, and the correspondence relationship between the first identification information and the second identification information is determined.

A determination system according to an embodiment of the present invention identifies first identification information indicated by a first identifier that provides visual information of a determination code, and obtains first identification information from the identified first identification information and a second identifier of the determination code. A correspondence relationship with the second identification information is determined. That is, by using the determination system, the first identification information indicated by the first identifier can be specified without depending on the user's visual observation, and the authenticity of the determination code can be determined. Therefore, user dependence (variation due to visual observation by the user) in determining authenticity is suppressed, and the accuracy of determining the authenticity of the determination code is improved. As a result, it is possible to prevent counterfeiting of products with determination codes attached.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating an outline of a determination system according to an embodiment (first embodiment) of the present invention, and a schematic diagram showing a determination code to be authenticated by the determination system. 1 is a block diagram showing the configuration of a determination system according to an embodiment (first embodiment) of the present invention. FIG. 2 is a sequence diagram showing a process for determining the authenticity of a determination code, which is executed by the determination system according to an embodiment (first embodiment) of the present invention. It is a schematic diagram explaining a part of authenticity determination processing of the determination system concerning one embodiment (1st embodiment) of the present invention. It is a flowchart figure which shows the process of step S170 of the authenticity determination process of the determination system based on one Embodiment (1st Embodiment) of this invention. It is a flowchart figure which shows the process of step S170A of the authenticity determination process of the determination system based on one Embodiment (2nd Embodiment) of this invention. FIG. 7 is a schematic diagram illustrating feature amounts of registered feature data registered in a registered feature amount database of a determination system according to an embodiment (third embodiment) of the present invention. It is a block diagram showing the composition of the judgment system concerning one embodiment (3rd embodiment) of the present invention. It is a sequence diagram which shows the authenticity determination process performed by the determination system based on one Embodiment (3rd Embodiment) of this invention. FIG. 7 is a schematic diagram illustrating feature amounts of registered feature data registered in a registered feature amount database of a determination system according to an embodiment (fourth embodiment) of the present invention. It is a sequence diagram which shows the authenticity determination process performed by the determination system based on one Embodiment (5th Embodiment) of this invention. It is a schematic diagram explaining a part of authenticity determination processing of the determination system concerning one embodiment (5th embodiment) of the present invention. It is a sequence diagram which shows the authenticity determination process of the determination code performed by the determination system based on one Embodiment (6th Embodiment) of this invention. It is a schematic diagram which shows the determination code whose authenticity is determined by the determination system based on one Embodiment (7th Embodiment) of this invention. It is a sequence diagram which shows the authenticity determination process of the determination code performed by the determination system based on one Embodiment (7th Embodiment) of this invention. It is a schematic diagram which shows the determination code whose authenticity is determined by the determination system based on one Embodiment (7th Embodiment) of this invention. It is a block diagram showing the composition of the judgment system concerning one embodiment (8th embodiment) of the present invention. It is a sequence diagram which shows the authenticity determination process of the determination code performed by the determination system based on one Embodiment (8th Embodiment) of this invention. It is a schematic diagram explaining a part of authenticity determination processing of the determination system concerning one embodiment (8th embodiment) of the present invention.

Each embodiment of the present invention will be described below with reference to the drawings. However, the present invention can be implemented in various forms without departing from the scope thereof, and should not be construed as being limited to the contents described in the embodiments exemplified below.

In order to make the explanation more clear, the drawings may schematically represent the width, thickness, shape, etc. of each part compared to the actual aspect, but these are merely examples and do not limit the interpretation of the present invention. It's not something you do. In addition, in this specification and each figure, elements having the same functions as those described with respect to the previously shown figures may be denoted by the same reference numerals, and redundant explanation may be omitted.

In this specification and the drawings, when referring to a plurality of identical or similar configurations as a whole, the same reference numerals or the same reference numerals may be indicated with capital letters attached. When a plurality of parts of one configuration are to be expressed separately, the same code may be used, and a hyphen and a natural number may also be used.

In this specification, characters such as "first," "second," or "third" appended to each configuration are convenient marks used to distinguish each configuration, and special explanations are not provided. Unless there is, it has no further meaning.

<First embodiment>
The configuration of a determination system 10 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5.

[1. Outline of determination system 10]
FIG. 1(A) is a block diagram illustrating an outline of a determination system 10 according to an embodiment of the present invention, and FIG. 1(B) is a block diagram illustrating an outline of a determination system 10 according to an embodiment of the present invention. 5 is a schematic diagram showing a determination code 500. FIG.

As shown in FIG. 1(A), the determination system 10 includes an information terminal 100 and a server 200. Information terminal 100 is communicably connected to server 200 via network NW. The network NW may be wired or wireless. For example, the network NW is a LAN (Local Area Network) or the Internet, but is not limited to these.

As shown in FIG. 1(B), the determination code 500 whose authenticity is determined by the determination system 10 includes a first identifier 510 and a second identifier 520. The first identifier 510 is an identifier that provides visual information, and is, for example, a hologram. The second identifier 520 is an identifier that includes identification information unique to the determination code 500, and is, for example, a QR code. In the determination code 500, a first identifier 510 and a second identifier 520 are integrally formed. The determination code 500 may be a label or electronic data. When the judgment code 500 is a label, it is attached to an article and used, and when the judgment code 500 is electronic data, it is displayed on a screen and used.

The determination system 10 determines the authenticity of the determination code 500 by photographing the determination code 500. Furthermore, the determination system 10 can determine the authenticity of multiple types of determination codes 500. The first identifier 510 and second identifier 520 included in one determination code 500 have a one-to-one correspondence, and different types of determination codes 500 have not only the first identifier 510 but also the second identifier 520. It's different. Therefore, by determining the correspondence between the first identifier 510 and the second identifier 520 of the determination code 500, it is possible to determine whether the determination code 500 is genuine or forged.

The information terminal 100 is a terminal that can photograph the determination code 500 or display the determination result. The information terminal 100 is, for example, a mobile phone, a smartphone, a tablet, or a personal computer, but is not limited to these. Furthermore, the information terminal 100 can generate an image corresponding to the photographed determination code 500.

The server 200 is software or a computer that can receive images from the information terminal 100 and determine the authenticity of the determination code 500. When the server 200 is a computer, the server 200 may be one computer or multiple computers.

As described above, the determination system 10 includes the information terminal 100 and the server 200, and the image generated by the information terminal 100 is transmitted to the server 200. The server 200 executes an authenticity determination process based on the transmitted image, and generates determination result information. Note that the determination system 10 can also perform the authenticity determination process and generate determination result information using a cloud computing method or an ASP (Application Service Provider) method.

[2. Configuration of determination system 10]
FIG. 2 is a block diagram showing the configuration of the determination system 10 according to an embodiment of the present invention.

As shown in FIG. 2, the information terminal 100 of the determination system 10 includes an imaging section 110, a display section 120, and a communication section 130. Further, the server 200 of the determination system 10 includes a control section 210, a storage section 220, and a communication section 230.

The imaging unit 110 is an imaging device that can photograph the determination code 500. The first identifier 510 and second identifier 520 of the determination code 500 are photographed separately. The imaging unit 110 can generate a first image corresponding to the first identifier 510 of the photographed determination code 500. Similarly, the imaging unit 110 can generate a second image corresponding to the second identifier 520 of the photographed determination code 500. As the imaging unit 110, for example, a camera, a video camera, a scanner, or the like can be used.

The display unit 120 is a display interface that can display the first image, the second image, or the determination result information. As the display section 120, for example, a liquid crystal display device, an OLED display device, or the like can be used.

The communication unit 130 and the communication unit 230 are communication interfaces that can transmit or receive data or information by wire or wirelessly. As the communication unit 130 and the communication unit 230, for example, a LAN module or a Wi-Fi (registered trademark) module can be used.

The control unit 210 is a computer that can perform arithmetic processing using data or information. The control unit 210 includes, for example, a central processing unit (CPU), a microprocessor (MPU), or a random access memory (RAM). Specifically, the control unit 210 can cause the image processing unit 211, feature amount data generation unit 212, identification information acquisition unit 213, and determination unit 214 to function by executing a program. Note that details of the image processing section 211, feature amount data generation section 212, identification information acquisition section 213, and determination section 214 will be described later.

The storage unit 220 is a storage that can store data or information. Specifically, the storage unit 220 can store a registered feature database 221. In the registered feature database 221, first feature data indicated by the first identifier 510 linked to the second identification information included in the second identifier 520 is registered in advance for each different type of determination code 500. . As the storage unit 220, for example, a hard disk drive (HDD), a solid state drive (SSD), a read only memory (ROM), a random access memory (RAM), a flash memory, etc. can be used.

In the following, in order to distinguish between the data or information of the determination code 500 used in the authenticity determination and the data or information registered in advance in the registered feature database 221, for convenience, the data or information registered in the registered feature database 221 will be The first feature amount data and the second identification information will be described as registered feature amount data and registered identification information, respectively.

The image processing unit 211 can divide the first image into multiple regions and extract the multiple regions according to predetermined rules.

The feature amount data generation unit 212 can generate feature amounts for each of the plurality of regions. Since the feature amounts of the plurality of regions correspond to the feature amount of the first identifier 510, the feature amounts of the plurality of regions will be described below as first feature amount data for convenience. That is, the feature amount data generation unit 212 can generate the first feature amount data of the first identifier 510.

The identification information acquisition unit 213 can read the second image and acquire the second identification information included in the second identifier 520.

The determination unit 214 can identify the first identification information indicated by the first identifier 510 using the first feature amount data. Further, the determination unit 214 can determine the correspondence between the identified first identification information and the acquired second identification information, and can generate determination result information.

Note that in other embodiments to be described later, the image processing unit 211, the feature data generation unit 212, the identification information acquisition unit 213, and the determination unit 214 may perform functions other than those described above. .

[3. Authenticity determination process of determination system 10]
FIG. 3 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10 according to an embodiment of the present invention. Further, FIG. 4 is a schematic diagram illustrating a part of the authenticity determination process of the determination system 10 according to an embodiment of the present invention.

The authenticity determination process executed by the determination system 10 is started by executing the authenticity determination process program on the information terminal 100.

In step S100, the imaging unit 110 generates a first image corresponding to the first identifier 510 of the photographed determination code 500.

In step S110, the generated first image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S120, the imaging unit 110 generates a second image corresponding to the second identifier 520 of the photographed determination code 500.

In step S130, the generated second image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S140, the image processing unit 211 divides the first image into multiple regions and extracts the multiple regions. For example, as shown in FIG. 4A, the image processing unit 211 divides the first image 610 into matrix-like regions of 4 rows and 2 columns, and divides the first image 610 into 8 regions (first regions 610-1 to 610-1). An eighth region 610-8) can be generated. The image processing unit 211 may divide the first image according to a predetermined rule, and the number of regions is not particularly limited.

In step S150, the feature data generation unit 212 generates first feature data of the first identifier 510. That is, the feature amount data generation unit 212 generates feature amounts for each of the plurality of regions. The feature amount is, for example, an RGB value as shown in FIG. 4(B). The RGB value is each pixel value of a red pixel (R pixel), a green pixel (G pixel), and a blue pixel (B pixel). Therefore, the feature amounts expressed by RGB values include R feature amounts, G feature amounts, and B feature amounts. The R feature amount, G feature amount, and B feature amount shown in FIG. 4(B) are the average values of the pixel values of multiple R pixels, multiple G pixels, and multiple B pixels included in the area, respectively. be. However, the feature amount is not limited to the average value of pixel values. The feature amount may be an intermediate value of pixel values. Further, although FIG. 4B shows feature quantities of 8-bit gradations (numerical values from 0 to 255), the number of gradations is not limited to this. The feature amount data generation unit 212 can generate feature amounts according to a predetermined number of gradations.

Note that if the number of gradations of the first image is different from the predetermined number of gradations, in step S120, the image processing unit 211 performs up-conversion or down-conversion of the number of gradations of the first image. good. In this case, the image processing unit 211 divides the first image, which has been converted into a predetermined number of gradations, into a plurality of regions.

In step S160, the identification information acquisition unit 213 reads the second image and acquires the second identification information included in the second identifier 520.

In step S170, the determination unit 214 uses the first feature data to identify the first identification information indicated by the first identifier 510. Further, the correspondence between the identified first identification information and the second identification information acquired in step S160 is determined, and determination result information is generated. Here, details of the process in step S170 will be described with reference to FIG. 5.

FIG. 5 is a flowchart showing the process of step S170 of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. As shown in FIG. 5, the process in step S170 includes steps S171 to S176.

In step S171, the determination unit 214 calculates the degree of coincidence between the feature amount of the first feature amount data and the feature amount of the registered feature amount data. The degree of matching is calculated for each region. Furthermore, the degree of matching is calculated for all registered feature data registered in the registered feature database. For example, the matching degree C _n ^m between the feature amount of the n-th region of the first feature amount data and the feature amount of the n-th region of the m-th registered feature amount data can be calculated based on (Formula 1). Can be done.

Here, R _n , G _n , and B _n are the R feature amount, G feature amount, and B feature amount of the n-th region of the first feature amount data, respectively. Furthermore, R _n ^m , G _n ^m , and B _n ^m are the R feature amount, G feature amount, and B feature amount of the n-th region of the m-th registered feature amount data, respectively. Moreover, k is a bit of the number of gradations. Note that k, m, and n are all natural numbers.

In step S172, the determination unit 214 calculates the degree of similarity using the degree of matching C _n ^m calculated in step S171. The calculation of similarity is performed for each registered feature amount data. For example, the degree of similarity S ^m between the first feature amount data and the m-th registered feature amount data can be calculated based on (Equation 2).

As can be seen from (Formula 2), the similarity S ^m is the average value of the matching C _n ^m .

In step S173, the determining unit 214 identifies the registered identification information linked to the m-th registered feature data having the maximum similarity S ^m as the first identification information indicated by the first identifier 510. In other words, the determination unit 214 identifies the registration identification information linked to the registered feature data most similar to the first feature data as the first identification information indicated by the first identifier 510.

In step S174, the determination unit 214 determines the correspondence between the first identification information specified in step S173 and the second identification information acquired in step S160. For example, the determination unit 214 determines whether the first identification information and the second identification information match. When the first identification information and the second identification information match (step S174: YES), step S175 is executed. On the other hand, when the first identification information and the second identification information do not match (step S174: NO), step S176 is executed.

In step S175, the determination unit 214 generates determination result information indicating that the determination code 500 is genuine.

In step S176, the determination unit 214 generates determination result information indicating that the determination code 500 is a forgery.

Once step S175 or step S176 is executed, the process of step S170 ends.

Returning to FIG. 3 again, steps after step S180 will be described.

In step S180, the generated determination result information is transmitted from the server 200 to the information terminal 100 via the communication unit 230.

In step S190, the display unit 120 displays the determination result on the screen based on the determination result information. For example, if the determination result information is genuine, the display unit 120 displays "determination OK" on the screen, and if the determination result information is fake, it displays "determination NG" on the screen.

As described above, the determination system 10 according to the first embodiment uses the first feature including the feature amount of the first identifier 510 (the feature amount of a plurality of regions) based on the first image in which the first identifier 510 of the determination code 500 is photographed. Generate quantitative data. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the first embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500.

The determination system 10 according to the first embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the first embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modification 1 of the first embodiment>
The feature amount generated by the feature amount data generation unit 212 may be a grayscale value instead of an RGB value. In this case, in step S140 of FIG. 3, the image processing unit 211 converts the first image from RGB values to grayscale values, and then divides the first image into a plurality of regions. Thereby, in step S150 in FIG. 3, the feature amount data generation unit 212 can generate a feature amount represented by a grayscale value for each of the plurality of regions. In addition, in this modification, the feature amount of the registered feature amount data of the registered feature amount database 221 is also a grayscale value.

In this modification, in step S171 of FIG. 5, the degree of coincidence C _n ^m between the feature amount of the n-th region of the first feature amount data and the feature amount of the n-th region of the m-th registered feature amount data is It can be calculated based on (Formula 3).

Here, P _n is the feature amount of the n-th region of the first feature amount data expressed in gray scale value, and P _n ^m is the feature amount of the m-th registered feature amount data expressed in gray scale value. This is the feature amount of the nth region. As can be seen from (Formula 1) and (Formula 3), in this modification, the calculation for calculating the degree of coincidence C _n ^m is simplified.

As described above, in the authenticity determination by the determination system 10 according to the first modification of the first embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 is identified without relying on the user's visual inspection. Therefore, dependence on the user in determining authenticity is suppressed, and the determination accuracy in determining the authenticity of the determination code 500 is improved. Furthermore, since the amount of calculation for the authenticity determination process is reduced, the load on the server 200 can be reduced.

<Modification 2 of the first embodiment>
The feature amount generated by the feature amount data generation unit 212 may be a black and white binary value instead of an RGB value. In this case, in step S140 of FIG. 3, the image processing unit 211 converts the first image 610 from RGB values to black and white binary values, and then divides the first image 610 into a plurality of regions. Thereby, in step S150 in FIG. 3, the feature amount data generation unit 212 can generate a feature amount expressed in black and white binary values for each of the plurality of divided regions. In addition, in this modification, the feature amount of the registered feature amount data of the registered feature amount database 221 is also black and white binary.

In this modification, in step S171 of FIG. 5, the degree of coincidence C _n ^m between the feature amount of the n-th region of the first feature amount data and the feature amount of the n-th region of the m-th registered feature amount data is This corresponds to the case where k=0 in (Formula 3). Therefore, in this modification, the calculation for calculating the degree of coincidence C _n ^m is further simplified.

As described above, in the authenticity determination by the determination system 10 according to the second modification of the first embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 is identified without depending on the user's visual observation. Therefore, dependence on the user in determining authenticity is suppressed, and the determination accuracy in determining the authenticity of the determination code 500 is improved. Furthermore, since the amount of calculation for the authenticity determination process is reduced, the load on the server 200 can be reduced.

<Variation 3 of the first embodiment>
Information terminal 100 may include a control unit. That is, the control unit of the information terminal 100 may execute the program and perform the same functions as the image processing unit 211 and feature amount data generation unit 212 described above.

In this modification, first feature amount data including the feature amount of the first identifier 510 is generated in the information terminal 100 based on the first image. Further, the first feature amount data generated by the information terminal 100 is transmitted to the server 200 via the communication unit 130, and steps S160 and subsequent steps in FIG. 3 are executed.

As described above, in the authenticity determination by the determination system 10 according to the third modification of the first embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 is identified without relying on the user's visual inspection. Therefore, dependence on the user in determining authenticity is suppressed, and the determination accuracy in determining the authenticity of the determination code 500 is improved.

<Modification 4 of the first embodiment>
The determination system 10 may not include the server 200. In this case, information terminal 100 includes a control section and a storage section. That is, the control unit of the information terminal 100 may execute the program and perform the same functions as the image processing unit 211, feature amount data generation unit 212, identification information acquisition unit 213, and determination unit 214 described above. Further, the storage unit of the information terminal 100 may store the registered feature database 221.

In this modification, first feature amount data including the feature amount of the first identifier 510 is generated in the information terminal 100 based on the first image. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 of the storage unit of the information terminal 100 is calculated, and the first identification information of the first identifier 510 is specified in the information terminal 100. . Furthermore, in the information terminal 100, a second image of the second identifier 520 of the determination code 500 is read, and second identification information of the second identifier 520 is acquired. Furthermore, in the information terminal 100, the correspondence relationship between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520 is determined. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

Note that this modification may be executed using a program installed in the information terminal 100, or may be executed by reading a program stored in a recording medium (for example, a CD-ROM or a DVD-ROM). Good too.

As described above, in the authenticity determination by the determination system 10 according to the fourth modification of the first embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 is identified without depending on the user's visual inspection. Therefore, dependence on the user in determining authenticity is suppressed, and the determination accuracy in determining the authenticity of the determination code 500 is improved. Further, since the server 200 is not used, the authenticity of the determination code 500 can be determined using the information terminal 100 without depending on the communication state or communication speed. Therefore, since the authenticity of the determination code 500 can be determined at any location, convenience for the user is improved.

<Second embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. 6. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 6 is a flowchart showing the process of step S170A of the authenticity determination process of the determination system 10 according to an embodiment of the present invention.

In this embodiment, step S170A is executed instead of step S170 in the first embodiment. Step S170A includes step S172A and step S173A instead of step S172 and step S173 described above.

In step S172A, the determination unit 214 calculates the number of valid areas of the first feature data with respect to the registered feature data using the degree of coincidence C _n ^m calculated in step S171. Calculation of the number of effective areas is performed for each registered feature amount data. For example, the number N ^m of valid regions of the first feature data with respect to the m-th registered feature data is the number of regions having a matching degree C _n ^m that is equal to or greater than the threshold set for the m-th registered feature data. In other words, the determination unit 214 counts the number of regions in the m-th registered feature data having a matching degree C _n ^m equal to or higher than the threshold, and determines the effective region of the first feature data with respect to the m-th registered feature data. Calculate the number ^Nm . Note that the threshold value may be the same or different for each region.

In step S173A, the determination unit 214 identifies the registered identification information linked to the m-th registered feature amount data for which the number ^Nm of valid areas has the maximum value as the first identification information indicated by the first identifier 510. In other words, the determination unit 214 identifies the registered identification information linked to the registered feature data that has the largest number of regions matching the area of the first feature data as the first identification information indicated by the first identifier 510. do.

As described above, the determination system 10 according to the second embodiment generates first feature amount data including the feature amount of the first identifier 510 based on the first image of the first identifier 510 of the determination code 500. For the first feature data, the number of valid areas with the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the second embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500.

The determination system 10 according to the second embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the second embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modified example of second embodiment>
In step S172A, the determining unit 214 may determine whether a predetermined area is included when counting the number of valid areas. If a characteristic pattern (for example, the "SECURE" part in FIG. 1B) is included in a predetermined position of the first identifier 510, the predetermined area containing the characteristic pattern will be added to the number of valid areas. By determining that the pattern is included, it is possible to calculate the number of effective areas with weight given to the characteristic pattern. If the predetermined area is not included in counting the number of valid areas, the determination unit 214 may calculate the number of valid areas as 0. Since step S174 in FIG. 6 is not executed for registered feature amount data in which the number of effective regions is 0, the amount of calculation in step S174 can be reduced.

The number of predetermined areas may be one or more. Further, the number of predetermined regions may be the same or different for each registered feature amount data.

As described above, in the authenticity determination of the determination system 10 according to the modification of the second embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be identified without depending on the user's visual observation. Therefore, dependence on the user in determining authenticity is suppressed, and the accuracy of determining the authenticity of the determination code 500 is improved. Furthermore, since the amount of calculation for the authenticity determination process is reduced, the load on the server 200 can be reduced.

<Third embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 7 is a schematic diagram illustrating feature amounts of registered feature amount data registered in the registered feature amount database 221B of the determination system 10 according to an embodiment of the present invention. In this embodiment, a registered feature database 221B is stored in the storage unit 220 instead of the registered feature database 221 of the first embodiment.

The first identifier 510 that provides visual information may have a different color tone depending on the direction in which the first identifier 510 is photographed. Therefore, the registered feature amount data in the registered feature amount database 221B includes a plurality of feature amounts having different photographing direction angles. For example, as shown in FIG. 7, the first registered feature data in the registered feature database 221B includes not only the feature data from the shooting direction at the first angle but also the feature data from the second angle different from the first angle. Contains features from the shooting direction. Note that the number of angles in the photographing direction included in the registered feature amount data is not limited to two.

In this embodiment, in step S171 in FIG. 5, the determination unit 214 calculates not only the feature amount of the first angle but also the degree of coincidence with the feature amount of the second angle. That is, the degree of coincidence between the feature amount of the first feature amount data and the feature amount of the registered feature amount data is calculated at each of the first angle and the second angle. Further, in step S172 of FIG. 5, the degree of similarity between the first feature amount data and the registered feature amount data is calculated at each of the first angle and the second angle. In addition, in step S173 of FIG. 5, the determination unit 214 selects the first registration identification information associated with the registration feature amount data having the maximum value among all the calculated similarities, as indicated by the first identifier 510. Specify as identification information.

As described above, the determination system 10 according to the third embodiment generates first feature amount data including the feature amount of the first identifier 510 based on the first image of the first identifier 510 of the determination code 500. The degree of similarity between the first feature amount data and the angles of the plurality of photographing directions of the registered feature amount data is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the third embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500. Furthermore, since the first identification information of the first identifier 510 is specified by taking into consideration the angle of the photographing direction of the first identifier 510, the accuracy of the determination of the authenticity of the determination code 500 is further improved.

The determination system 10 according to the third embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the third embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modification of third embodiment>
FIG. 8 is a block diagram showing the configuration of a determination system 10 according to an embodiment of the present invention.

As shown in FIG. 8, the information terminal 100 of the determination system 10 according to this modification includes an imaging section 110, a display section 120, a communication section 130, and a sensor section 140. Further, the server 200 of the determination system 10 includes a control section 210, a storage section 220, and a communication section 230. The storage unit 220 stores a registered feature database 221B.

The sensor unit 140 is a sensor that can detect the angle of the information terminal 100 and generate angle data. As the sensor section 140, for example, a gyro sensor or the like can be used.

FIG. 9 is a sequence diagram showing the authenticity determination process executed by the determination system 10 according to an embodiment of the present invention.

As shown in FIG. 9, the authenticity determination process executed by the determination system 10 according to this modification further includes step S105B and step S115B in the authenticity determination process described with reference to FIG. Moreover, the authenticity determination process of the determination system 10 according to this modification includes step S170B instead of step S170.

In step S105B, the sensor unit 140 detects the angle of the information terminal 100 when generating the first image as the photographing direction of the first identifier 510, and generates angle data.

In step S115B, the generated angle data is transmitted from the information terminal 100 to the server 200 via the communication unit 130. Thereby, the server 200 can acquire angle data regarding the photographing direction of the first identifier 510.

In step S170B, the determination unit 214 selects the feature amount of the angle closest to the angle data from among the plurality of angles included in the registered feature amount data, and calculates the degree of matching. That is, in step S170B, the degree of matching is calculated using one angle included in the registered feature amount data. Therefore, it is not necessary to calculate the degree of coincidence for each of the plurality of angles, and the amount of calculation for the degree of coincidence is reduced.

As described above, in the authenticity determination by the determination system 10 according to the modification of the third embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be identified without depending on the user's visual observation. Therefore, dependence on the user in determining authenticity is suppressed, and the accuracy of determining the authenticity of the determination code 500 is improved. Furthermore, since the first identification information of the first identifier 510 is specified by taking into consideration the angle of the photographing direction of the first identifier 510, the accuracy of the determination of the authenticity of the determination code 500 is further improved. Furthermore, since the amount of calculation for the authenticity determination process is reduced, the load on the server 200 can be reduced.

<Fourth embodiment>
Another embodiment of the determination system 10 will be described with reference to FIG. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 10 is a schematic diagram illustrating feature amounts of registered feature amount data registered in the registered feature amount database 221C of the determination system 10 according to an embodiment of the present invention. In this embodiment, a registered feature database 221C is stored in the storage unit 220 instead of the registered feature database 221 of the first embodiment.

The first identifier 510 that provides visual information may have a different color tone depending on the intensity of light irradiated onto the first identifier 510. Therefore, the registered feature data in the registered feature database 221C includes a plurality of features with different light irradiation intensities. For example, as shown in FIG. 10, the first registered feature data of the registered feature database 221C includes not only the first light irradiation intensity but also the second light irradiation intensity feature different from the first light irradiation intensity. Including quantity. Note that the number of light irradiation intensities included in the registered feature amount data is not limited to two.

In this embodiment, in step S171 in FIG. 5, the determination unit 214 calculates not only the feature amount of the first light irradiation intensity but also the degree of coincidence with the feature amount of the second light irradiation intensity. That is, the degree of coincidence between the feature amount of the first feature amount data and the feature amount of the registered feature amount data is calculated for each of the first light irradiation intensity and the second light irradiation intensity. Furthermore, in step S172 in FIG. 5, the degree of similarity between the first feature amount data and the registered feature amount data is calculated for each of the first light irradiation intensity and the second light irradiation intensity. In addition, in step S173 of FIG. 5, the determination unit 214 selects the first registration identification information associated with the registration feature amount data having the maximum value among all the calculated similarities, as indicated by the first identifier 510. Specify as identification information.

As described above, the determination system 10 according to the fourth embodiment generates first feature amount data including the feature amount of the first identifier 510 based on the first image of the first identifier 510 of the determination code 500. The degree of similarity between the first feature amount data and the plurality of light irradiation intensities of the registered feature amount data is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the fourth embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500. Furthermore, since the first identification information of the first identifier 510 is specified by taking into consideration the intensity of the light irradiated to the first identifier 510, the accuracy of the determination of the authenticity of the determination code 500 is further improved.

<Fifth embodiment>
Another embodiment of the determination system 10 will be described with reference to FIGS. 11 and 12. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 11 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10 according to an embodiment of the present invention. Moreover, FIG. 12 is a schematic diagram explaining a part of the authenticity determination process of the determination system 10 according to an embodiment of the present invention. Specifically, FIG. 12(A) is a schematic diagram of the first image 610, and FIG. 12(B) is a schematic diagram illustrating the first feature amount data.

As shown in FIG. 11, in the authenticity determination process of the determination system 10 according to the present embodiment, instead of steps S140, S150, and S170 of the authenticity determination process described with reference to FIG. Step S150D and step S170D are included.

In step S140D, the image processing unit 211 extracts the first pattern area 611D-1 and the second pattern area 611D-2 from the first image 610. As shown in FIG. 12(A), the first image 610 includes a first pattern area 611D-1 and a second pattern area 611D-2 having a characteristic pattern. Therefore, the image processing unit 211 can detect a predetermined characteristic pattern and extract the first pattern area 611D-1 and the second pattern area 611D-2. The image processing unit 211 also acquires position information of each of the first pattern area 611D-1 and the second pattern area 611D-2.

In step S150D, the feature data generation unit 212 generates first feature data of the first identifier 510. Here, the feature amount data generation unit 212 generates the feature amount in each of the pattern regions 611D as the first feature amount data. That is, in step S130D, feature amounts of a plurality of predetermined pattern regions 611D are generated instead of feature amounts of a plurality of regions.

In step S170D, the determination unit 214 uses the first feature data to identify the first identification information indicated by the first identifier 510. Further, the correspondence between the identified first identification information and the second identification information acquired in step S160 is determined, and determination result information is generated.

In specifying the first identification information, the degree of similarity between the first feature amount data and the registered feature amount data registered in the registered feature amount database is calculated. The calculation of similarity is performed for each registered feature amount data. For example, as shown in FIG. 12(B), the determination unit 214 calculates the degree of similarity based not only on the R feature amount, the G feature amount, and the B feature amount, but also on the position information. Further, the determining unit 214 identifies the registered identification information linked to the registered feature data having the maximum similarity as the first identification information indicated by the first identifier 510.

As described above, the determination system 10 according to the fifth embodiment determines the first feature amount data including the feature amount of the first identifier 510 based on the predetermined pattern area of the first image in which the first identifier 510 of the determination code 500 is photographed. generate. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the fifth embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500. Further, since the feature amount is generated based on the characteristic pattern region 611D, variations due to imaging conditions are reduced, and variations in the generated feature amount are also suppressed. Therefore, the accuracy of determining the authenticity of the determination code 500 is further improved.

<Sixth embodiment>
With reference to FIG. 13, another embodiment of the determination system 10 according to one embodiment of the present invention will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

The configurations of each of the information terminal 100 and the server 200 of the determination system 10 according to the sixth embodiment are the same as the configuration described with reference to FIG. 8, so the description will be omitted here.

FIG. 13 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 10 according to an embodiment of the present invention.

In step S100E, the imaging unit 110 generates a first image corresponding to the first identifier 510 of the determination code 500 photographed from the first photographing direction. Furthermore, the imaging unit 110 generates a second first image corresponding to the first identifier 510 of the determination code 500, which is photographed from a second photographing direction different from the first photographing direction.

In step S105E, the sensor unit 140 detects the angle of the information terminal 100 when generating the first image as the first photographing direction of the first identifier 510, and generates first angle data. Further, the sensor unit 140 detects the angle of the information terminal 100 when generating the second first image as the second photographing direction of the first identifier 510, and generates second angle data.

In step S110E, the generated first first image and second first image are transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S115E, the generated first angle data and second angle data are transmitted from the information terminal 100 to the server 200 via the communication unit 130.

Step S120 and Step S130 are the same as in the first embodiment, so their description will be omitted here.

In step S140E, the image processing unit 211 divides each of the first first image and the second first image into a plurality of regions, and extracts the plurality of regions.

In step S150E, the feature amount data generation unit 212 generates first feature amount data including the feature amount of the first identifier 510. Here, the feature amount data generation unit 212 generates a feature amount corresponding to the rate of change in the first image with respect to the angle data. Specifically, the feature data generation unit 212 converts the difference between the pixel value of the first image and the pixel value of the second image into the difference between the first angle data and the second angle data. The value divided by the difference is generated as a feature quantity. Feature amounts are generated for each of the plurality of regions.

The steps from step S160 onward are the same as those in the first embodiment, so the description will be omitted here.

As described above, the determination system 10 according to the sixth embodiment calculates the feature amount corresponding to the rate of change of the first identifier 510 based on a plurality of first images taken of the first identifier 510 of the determination code 500 from different photographing directions. First feature amount data including the first feature amount data is generated. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 10 according to the sixth embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the authenticity determination does not depend on the user. This improves the accuracy of determining the authenticity of the determination code 500. Further, since the feature amount is generated based on the change between at least two first images, variations due to imaging conditions are reduced, and variations in the generated feature amount are also suppressed. Therefore, the accuracy of determining the authenticity of the determination code 500 is further improved.

<Seventh embodiment>
Another embodiment of the determination system 10 according to one embodiment of the present invention will be described with reference to FIG. 14. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 14 is a schematic diagram showing a determination code 500F whose authenticity is determined by the determination system 10 according to an embodiment of the present invention. In this embodiment, a determination code 500F is used instead of the determination code 500 used in the authenticity determination of the first embodiment.

As shown in FIG. 14, the determination code 500F includes a first identifier 510 and a second identifier 520F. The second identifier 520F is placed near the first identifier 510. Therefore, in determining the authenticity of the determination code 500F, the first identifier 510 and the second identifier 520F can be photographed simultaneously.

FIG. 15 is a sequence diagram showing the authenticity determination process of the determination code 500F executed by the determination system 10 according to an embodiment of the present invention.

In step S100F, the imaging unit 110 generates an image corresponding to the first identifier 510 and second identifier 520F of the photographed determination code 500F.

In step S110F, the generated image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S118F, the image processing unit 211 extracts a first image corresponding to the first identifier 510 and a second image corresponding to the second identifier 520F from the image.

The steps from step S140 onward are the same as those in the first embodiment, so the description will be omitted here.

As described above, the determination system 10 according to the seventh embodiment extracts the first image corresponding to the first identifier 510 and the second image corresponding to the second identifier 520F from the image of the determination code 500F, and Based on the first identifier 510, first feature amount data including the feature amount of the first identifier 510 is generated. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads the second image and acquires second identification information of the second identifier 520F. Furthermore, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520F. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500F is genuine.

In the authenticity determination by the determination system 10 according to the seventh embodiment, the first identification information indicated by the first identifier 510 of the determination code 500F can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of the authenticity determination of the determination code 500F. Furthermore, since the first identifier 510 and the second identifier 520F can be photographed at the same time, convenience for the user is improved.

The determination system 10 according to the seventh embodiment is not limited to the configuration described above, and can be modified in various ways. Below, several modified examples of the determination system 10 according to the seventh embodiment will be described. Note that, below, descriptions of configurations similar to those described above may be omitted.

<Modification of seventh embodiment>
FIG. 16 is a schematic diagram showing a determination code 500F' whose authenticity is determined by the determination system 10 according to an embodiment of the present invention.

As shown in FIG. 16, the determination code 500F' includes a first identifier 510, a first second identifier 520F'-1, a second second identifier 520F'-2, and a third second identifier 520F'- Contains 3. The first identifier 510 is divided into a first area 511F'-1, a second area 511F'-2, and a third area 511F'-3. The second second identifier 520F'-2 and the third second identifier 520F'-3 correspond to the first area 511F'-1, the second area 511F'-2, and the third area 511F, respectively. This is the identifier assigned to '-3. The first second identifier 520F'-1, the second second identifier 520F'-2, and the third second identifier 520F'-3 correspond to the first area 511F'-1 and the second area, respectively. 511F'-2 and near the third area 511F'-3. Therefore, in determining the authenticity of the determination code 500F', the first area 511F'-1 and the first second identifier 520F'-1 can be photographed simultaneously. Similarly, the second area 511F'-2 and the second second identifier 520F'-2 are photographed at the same time, and the third area 511F'-3 and the third second identifier 520F'-3 are photographed at the same time. Being photographed.

Note that the number of first identifiers 510 to be classified is not limited to three. The number of first identifiers classified may be n (n is a natural number).

In the authenticity determination process of the determination system 10 according to this modification, the first first identification information indicated by the first area 511F'-1, the second first identification information indicated by the second area 511F'-2, and the third first identification information indicated by the third area 511F'-3 are the first second identifier information and the second second identifier 520F included in the first second identifier 520F'-1, respectively. The correspondence relationship between the second second identifier information included in '-2' and the third second identifier information included in third second identifier 520F'-3 is determined. Further, when all the correspondence relationships are determined to be genuine, the determination code 500F' is determined to be genuine. However, the determination of correspondence is not limited to this. For example, when the first identification information and the second identification information in the predetermined area 511F' match, the determination code 500F' may be determined to be genuine. Note that there may be a plurality of predetermined areas 511F' used for determination.

As described above, in the determination system 10 according to the modification of the seventh embodiment, the first image and the second image are generated for each of the plurality of areas 511F' of the first identifier 510 from the image taken of the area 511F' of the determination code 500. Then, first feature amount data including the feature amount of the first identifier 510 is generated based on the first image. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads the second image and obtains second identification information of the second identifier 520F'. Further, the determination system 10 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520F'. For example, it is determined whether the first identification information and second identification information in all areas 511F' match, and when the first identification information and second identification information in all areas 511F' match, It is determined that the determination code 500F' is genuine.

In the authenticity determination by the determination system 10 according to the seventh embodiment, the first identification information indicated by the first identifier 510 of the determination code 500F' can be specified without depending on the user's visual observation. is suppressed, and the accuracy of the authenticity determination of the determination code 500F' is improved. Furthermore, since the authenticity determination process is performed multiple times for one determination code 500F', the accuracy of determination of the authenticity of the determination code 500F' is further improved. Further, even when the first identifier 510 is large, the authenticity can be determined by dividing into a plurality of areas 511F'.

<Eighth embodiment>
A determination system 20 according to another embodiment of the determination system 10 will be described with reference to FIGS. 17 to 19. Note that, below, descriptions of configurations similar to those described above may be omitted.

FIG. 17 is a block diagram showing the configuration of a determination system 20 according to an embodiment of the present invention.

As shown in FIG. 17, the information terminal 100 of the determination system 20 includes an imaging section 110, a display section 120, and a communication section 130. Further, the server 200 of the determination system 20 includes a control section 210, a storage section 220, and a communication section 230. The control unit 210 executes the program and causes the feature amount data generation unit 212, the identification information acquisition unit 213, and the determination unit 214 to function. The storage unit 220 includes a registered feature database 222 .

FIG. 18 is a sequence diagram showing the authenticity determination process of the determination code 500 executed by the determination system 20 according to an embodiment of the present invention. Further, FIG. 19 is a schematic diagram illustrating a part of the authenticity determination process of the determination system 20 according to an embodiment of the present invention.

The determination process executed by the determination system 20 starts when a program for the authenticity determination process is executed on the information terminal 100.

In step S200, the imaging unit 110 generates a first image corresponding to the first identifier 510 of the photographed determination code 500.

In step S210, the generated first image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S220, the imaging unit 110 generates a second image corresponding to the second identifier 520 of the photographed determination code 500.

In step S230, the generated second image is transmitted from the information terminal 100 to the server 200 via the communication unit 130.

In step S240, the feature amount data generation unit 212 generates first feature amount data including the feature amount of the first identifier 510. In the authenticity determination process of the determination system 20 according to this embodiment, the feature amount of the entire first image is generated without dividing the first image into a plurality of regions. The feature amount is, for example, a histogram representing the frequency of each pixel value of an R pixel, a G pixel, and a B pixel, as shown in FIGS. 19(A) to 19(C). Such an RGB histogram includes features such as contrast or brightness in each of RGB of the first image, and these features are expressed as a distribution shape.

In step S250, the identification information acquisition unit 213 reads the second image and acquires the second identification information included in the second identifier 520.

In step S260, the determination unit 214 uses the first feature data to identify the first identification information indicated by the first identifier 510. Further, the correspondence between the identified first identification information and the second identification information acquired in step S260 is determined, and determination result information is generated.

In specifying the first identification information, the degree of similarity between the first feature amount data and the registered feature amount data registered in the registered feature amount database is calculated. The calculation of similarity is performed for each registered feature amount data. For example, the determination unit 214 calculates the degree of similarity based on the position or number of peaks in the histogram, the ratio of overlapping areas, the average value, the intermediate value, or the like. Further, the determining unit 214 identifies the registered identification information linked to the registered feature data having the maximum similarity as the first identification information indicated by the first identifier 510.

Additionally, the determination unit 214 determines whether the first identification information and the second identification information match. When the first identification information and the second identification information match, the determination unit 214 generates determination result information indicating that the determination code 500 is genuine. On the other hand, when the first identification information and the second identification information do not match, the determination unit 214 generates determination result information indicating that the determination code 500 is a forgery.

In step S270, the generated determination result information is transmitted from the server 200 to the information terminal 100 via the communication unit 230.

In step S280, the display unit 120 displays the determination result on the screen based on the determination result information. For example, if the determination result information is genuine, the display unit 120 displays "determination OK" on the screen, and if the determination result information is fake, it displays "determination NG" on the screen.

As described above, the determination system 20 according to the eighth embodiment generates first feature amount data including the feature amount of the first identifier 510 based on the first image of the first identifier 510 of the determination code 500. The degree of similarity between the first feature data and the registered feature data in the registered feature database 221 is calculated, and the first identification information of the first identifier 510 is specified. Further, the determination system 10 reads a second image of the second identifier 520 of the determination code 500 and obtains second identification information of the second identifier 520. Furthermore, the determination system 20 determines the correspondence between the first identification information of the identified first identifier 510 and the second identification information of the acquired second identifier 520. For example, it is determined whether the first identification information and the second identification information match, and when the first identification information and the second identification information match, it is determined that the determination code 500 is genuine.

In the authenticity determination by the determination system 20 according to the eighth embodiment, the first identification information indicated by the first identifier 510 of the determination code 500 can be specified without depending on the user's visual observation, so that the user dependency in the authenticity determination is reduced. This improves the accuracy of determining the authenticity of the determination code 500. Furthermore, since the first feature amount data is generated without dividing into a plurality of regions, the amount of calculation for the authenticity determination process is reduced, and the load on the server 200 can be reduced.

Note that in the determination system 20 according to the eighth embodiment, the authenticity can be determined using a histogram as the feature amount of each of the plurality of regions. For example, in a predetermined plurality of regions, or a plurality of regions divided into regions having a characteristic pattern and regions not having a characteristic pattern, the feature amount data generation unit 212 generates each of the plurality of regions. First feature amount data including a histogram can be generated.

The embodiments described above as embodiments of the present invention can be implemented in appropriate combinations as long as they do not contradict each other. Moreover, additions, deletions, or design changes of components made by those skilled in the art based on each embodiment are also included in the scope of the present invention as long as they have the gist of the present invention.

Further, even if there are other effects that are different from those brought about by each of the embodiments described above, those that are obvious from the description of this specification or that can be easily predicted by a person skilled in the art will naturally be explained. It is understood that this is provided by the present invention.

10, 20: Judgment system, 100: Information terminal, 110: Imaging unit, 120: Display unit, 130: Communication unit, 140: Sensor unit, 200: Server, 210: Control unit, 211: Image processing unit, 212: Features Quantity data generation unit, 213: Identification information acquisition unit, 214: Judgment unit, 220: Storage unit, 221, 221B, 221C: Registered feature database, 230: Communication unit, 500, 500F, 500F': Judgment code, 510: First identifier, 511, 511F': Area, 511F'-1: First area, 511F'-2: Second area, 511F'-3: Third area, 520, 520F: Second identifier, 520F '-1: First second identifier, 520F'-2: Second second identifier, 520F'-3: Third second identifier, 610: First image, 610-1: First area, 610-8: Eighth area, 611D: Pattern area, 611D-1: First pattern area, 611D-2: Second pattern area

Claims

an image processing unit that extracts a plurality of regions from a first image obtained by photographing the first identifier of the determination code including a first identifier and a second identifier;
a feature amount data generation unit that generates first feature amount data including feature amounts of each of the plurality of regions;
an identification information acquisition unit that acquires second identification information from a second image obtained by photographing the second identifier of the determination code;
A determination system comprising: a determination unit that identifies first identification information indicated by the first identifier based on the first feature amount data and determines a correspondence relationship between the first identification information and the second identification information.
The determination system according to claim 1, wherein the determination unit generates determination result information indicating that the determination code is genuine when the first identification information and the second identification information match.
The determination system according to claim 1 or 2, wherein the first identification information is specified by determining the degree of similarity between registered feature data registered in a database in advance and the first feature data. .
the n-th area of the determination code including the first identifier divided into n areas (n is a natural number) and the n-th second identifier assigned to each of the n-th area of the first identifier; extracting an n-th first image corresponding to the n-th area and an n-th second image corresponding to the n-th second identifier from an image obtained by photographing the n-th second identifier; an image processing unit that extracts a plurality of regions from the n-th first image;
a feature amount data generation unit that generates n-th first feature amount data including feature amounts of each of the plurality of regions of the n-th first image;
an identification information acquisition unit that acquires the n-th second identification information from the n-th second image;
Identifying the n-th first identification information indicated by the n-th area based on the n-th first feature amount data, and matching the n-th first identification information and the n-th second identification information. A determination system including: a determination unit that determines a relationship.
The determination unit generates a determination result indicating that the determination code is genuine when the nth first identification information and the nth second identification information match in all n areas. The determination system according to claim 4.
4 . The determination unit generates a determination result indicating that the determination code is authentic when the nth first identification information and the nth second identification information match in a predetermined area. 4 . Judgment system described in.
The determination system according to claim 6, wherein the predetermined area is a plurality of areas.
The n-th first identification information is specified by determining the degree of similarity between registered feature data registered in advance in a database and the n-th first feature data. 7. The determination system according to any one of 7.
The determination system according to claim 3 or 8, wherein the registered feature amount data includes a plurality of feature amounts having different angles in the photographing direction.
Furthermore, it includes a sensor unit that detects the angle of the photographing direction and generates angle data,
The determination system according to claim 9, wherein the determination unit selects one of the plurality of angles of the registered feature amount data based on the angle data.
The determination system according to claim 8, wherein the registered feature amount data includes a plurality of feature amounts having different light irradiation intensities.
The determination system according to any one of claims 1 to 8, wherein the feature amount is generated based on pixel values of a plurality of pixels included in the area.
The determination system according to claim 12, wherein the feature amount is represented by RGB values.
The determination system according to claim 12, wherein the feature amount is represented by a grayscale value.
The determination system according to claim 12, wherein the feature amount is expressed in black and white binary values.
The determination system according to any one of claims 1 to 15, wherein the first identifier is a hologram.
The determination system according to any one of claims 1 to 16, wherein the second identifier is a QR code (registered trademark).
A method for determining the authenticity of a determination code including a first identifier and a second identifier,
extracting a plurality of regions from a first image obtained by photographing the first identifier of the determination code;
generating first feature amount data including feature amounts of each of the plurality of regions;
obtaining second identification information from a second image obtained by photographing the second identifier of the determination code;
identifying first identification information indicated by the first identifier based on the first feature data;
A method for determining the authenticity of a determination code, the method comprising determining the correspondence between the first identification information and the second identification information.
19. The determination code according to claim 18, wherein in determining the correspondence relationship, if the first identification information and the second identification information match, determination result information indicating that the determination code is genuine is generated. Authenticity determination method.
The determination according to claim 18 or 19, wherein the identification of the first identification information is performed by determining the degree of similarity between registered feature data registered in advance in a database and the first feature data. How to determine the authenticity of a code.
A method for determining the authenticity of a determination code including a first identifier divided into n areas (n is a natural number) and an n-th second identifier assigned to each of the n-th areas of the first identifier,
From an image obtained by photographing the n-th area and the n-th second identifier, an n-th first image corresponding to the n-th area and an n-th image corresponding to the n-th second identifier are obtained. Extract the second image,
extracting a plurality of regions from the n-th first image;
generating n-th first feature amount data including feature amounts of each of the plurality of regions of the n-th first image;
obtaining n-th second identification information from the n-th second image;
identifying the n-th first identification information indicated by the n-th area based on the n-th first feature amount data;
A method for determining the authenticity of a determination code, the method comprising determining the correspondence between the n-th first identification information and the n-th second identification information.
In determining the correspondence relationship, if the n-th first identification information and the n-th second identification information match in all n areas, determination result information indicating that the determination code is genuine is determined. The method for determining authenticity of the determination code according to claim 21, wherein the determination code is generated.
In determining the correspondence relationship, if the nth first identification information and the nth second identification information match in a predetermined area, a determination result indicating that the determination code is genuine is generated; The method for determining authenticity of a determination code according to claim 21 or 22.
The identification of the n-th first identification information is performed by determining the degree of similarity between registered feature data registered in advance in a database and the n-th first feature data. A method for determining the authenticity of the determination code according to any one of Item 23.
a feature data generation unit that generates first feature data including a histogram of pixel values of a first image obtained by photographing the first identifier of a determination code including a first identifier and a second identifier;
an identification information acquisition unit that acquires second identification information from a second image obtained by photographing the second identifier of the determination code;
A determination system comprising: a determination unit that identifies first identification information indicated by the first identifier based on the first feature amount data and determines a correspondence relationship between the first identification information and the second identification information.
A method for determining the authenticity of a determination code including a first identifier and a second identifier,
generating first feature data including a histogram of pixel values of a first image obtained by photographing the first identifier of the determination code;
obtaining second identification information from a second image obtained by photographing the second identifier of the determination code;
identifying first identification information indicated by the first identifier based on the first feature data;
A method for determining the authenticity of a determination code, the method comprising determining the correspondence between the first identification information and the second identification information.