WO2013018613A1

WO2013018613A1 - Comparison system, comparison server, comparison method, characteristic extraction device, comparison/search device, and program

Info

Publication number: WO2013018613A1
Application number: PCT/JP2012/068827
Authority: WO
Inventors: 石山　塁
Original assignee: 日本電気株式会社
Priority date: 2011-07-29
Filing date: 2012-07-25
Publication date: 2013-02-07

Abstract

The present invention is a comparison/search system that has: a first imaging means that obtains an image which includes a prescribed site and an outline of a comparison subject which is a legitimate product or an object being managed; a first characteristic calculation means that calculates, from the image of the comparison subject obtained with the first imaging means, the characteristics of the shape and the position of the outline of the comparison subject, with the prescribed site as a reference; a recording means that records the characteristics of the shape and the position of the outline of the comparison subject which is a legitimate product, the characteristics having been calculated by the first characteristic calculation means; a second imaging means that obtains an image which includes a prescribed site and an outline of a comparison subject which is an object being authenticated; a second characteristic calculation means that calculates, from the image of the comparison subject obtained with the second imaging means, the characteristics of the shape and the position of the outline of the comparison subject, with the prescribed site as a reference; and a comparison means that compares the characteristics of the shape and the position of the outline of the comparison subject which is a legitimate product or an object being managed and the characteristics of the shape and the position of the outline of the comparison subject which is an object being authenticated.

Description

Collation system, collation server, collation method, feature extraction device, collation / retrieval device, and program

The present invention relates to a collation system, a collation server, a collation method, a feature extraction device, a collation / retrieval device, and a program.

In recent years, consumers and retailers have become more aware of the safety of agricultural, forestry and fishery products and their commitment to production areas. However, consumers and retailers have no means of determining whether agricultural, forestry and fishery products placed at retail stores are shipped from agricultural, forestry and fishery production sites and wholesalers.

In other words, in the conventional distribution system for agricultural, forestry and fishery products, a large number of intermediaries (several wholesalers, etc.) are interposed between producers and consumers. In this way, due to the presence of many middlemen between producers and consumers, when agricultural, forestry and fishery products are delivered to consumers, individual information of the agricultural, forestry and fishery products (the relevant agricultural, forestry and fishery products) It was difficult to accurately convey the production area, producer name, variety, cultivation method, harvest date, quality information, etc.).

Therefore, an individual information acquisition system for agricultural products that allows consumers and the like to easily know individual information on agricultural products has been proposed (for example, Patent Document 1).

The technology of Patent Document 1 is, for example, by assigning an ID number that is an identifier to agricultural products such as melons, such as a person other than a person (producer farmer or agricultural cooperative) involved in the production of these melons (for example, a consumer) ) Makes it possible to obtain individual information on the melon based on the ID number. For this purpose, a label (seal or sticker) with an ID number is affixed to the produce.

Also, a database system is constructed by storing individual information on agricultural products together with the above ID numbers in a computer system provided in a neutral organization (for example, a database corporation) provided separately. The producer transmits the ID number to the computer system, and the individual information of the agricultural product, the production location, the producer name, the variety, the cultivation method, the harvest date, and the quality information (sugar content, etc.) ) And send.

At least one computer is installed in a retailer's store, a consumer's home, and the like, and is connected to the computer system through a general public line. Then, the retailer's store or the consumer obtains individual information regarding the agricultural product specified by the ID number by transmitting the ID number described on the label attached to the agricultural product from the computer to the computer system. can do.

In addition, when managing agricultural, forestry and fishery products stocked by distributors, etc., information that should be differentiated in inventory management for individual stocks (for example, depending on the arrival date, harvest date leading to freshness, and processing purpose) It is necessary to know quality information, such as the amount of ingredients. As an example, stocks with an old arrival date are sold at a lower price than new ones with the same product type. Conventionally, inventory management information is searched by a computer system based on the ID number by assigning labels and ID numbers to agricultural products, as in the above-described technique.

Japanese Patent No. 3355366

However, in the method of attaching a label (seal or sticker) to agricultural, forestry and fishery products such as Patent Document 1 or identifying an individual using a packaging material, etc., a label (hereinafter, including label and packaging material) ) Is removed from agricultural, forestry and fishery products, or copied and imitated, and attached to other similar agricultural, forestry and fishery products, since there is no way to identify the individual agricultural, forestry and fishery products, so that counterfeiting such as the shipping source of agricultural, forestry and fishery products is prevented. I couldn't.

Also, inventory management information for each individual item could not be retrieved when the label could not be attached or peeled off.

In addition, it is conceivable to embed an IC tag or the like in an agricultural, forestry or fishery product instead of a sticky material such as a label. Further, since an IC tag is used, there is a problem that the entire system is expensive.

Accordingly, the present invention has been invented in view of the above-described problems, and its purpose is not to use a special device such as an IC tag, and a collation and retrieval system capable of collating and retrieving information on a collation target, collation and A search server, a collation and retrieval method, a feature extraction apparatus, a collation and retrieval apparatus, and a program are provided.

The present invention includes a first imaging unit that captures an image including a predetermined part and an outline of a verification target that is a regular product or a management target, and an image of the verification target captured by the first imaging unit. A first feature calculation means for calculating the contour shape and position features of the object to be verified with reference to a predetermined part; and the contour shape of the regular object to be verified calculated by the first feature calculator; A recording unit in which a feature of the position is recorded; a second imaging unit that captures an image including a predetermined portion and an outline of a verification target to be verified; and a verification that is captured by the second imaging unit Second feature calculation means for calculating the shape and position characteristics of the contour of the verification target based on the predetermined part from the image of the target; and the contour shape of the verification target that is the genuine product or the management target And the characteristics of the position and the authenticity A matching and retrieval system and a collating means for collating the features of contour shape and position of the collation object focus.

The present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified. A collation / retrieval server having collation means for collating the shape and position characteristics of the outline of the collation target object that is the genuine product or the management object with the outline shape and position characteristics of the collation target object of the authenticity collation It is.

The present invention calculates the feature of the shape and position of the contour of the collation target based on the predetermined portion from the image including the predetermined portion and contour of the collation target that is a regular product or a management target, and the calculated The shape and position characteristics of the contour of the verification target object of the genuine product are stored, and from the image including the predetermined part and contour of the verification target object to be verified, the contour of the verification target object based on the predetermined part Collation that calculates shape and position features and collates the contour shape and position features of the genuine or managed object to be collated with the contour and shape features of the object to be collated・ It is a search method.

The present invention relates to a process for calculating the shape and position characteristics of the contour of a verification target with reference to the predetermined portion from an image including the predetermined portion and contour of a verification target that is a regular product or a management target, and authenticity verification. Processing for calculating the contour shape and position characteristics of the object to be verified with reference to the predetermined part from the image including the predetermined part and contour of the object to be verified, and verification that is the genuine product or the management target It is a program for causing a computer to execute a process of collating the shape and position characteristics of the contour of the object with the contour shape and position characteristics of the collation target of the verification.

The present invention relates to the shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of authenticity verification. And a feature extraction device having feature calculation means for calculating the feature of the position.

The present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified. ,
A collation / retrieval device having collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification is there.

The present invention does not require a special device such as an IC tag, and can collate the object to be collated or search for management information.

FIG. 1 is a block diagram of an embodiment of the present invention. FIG. 2 is a diagram for explaining the first embodiment. FIG. 3 is a diagram for explaining the first embodiment. FIG. 4 is a diagram for explaining the first embodiment. FIG. 5 is a diagram for explaining the first embodiment. FIG. 6 is a diagram for explaining the first embodiment. FIG. 7 is a diagram for explaining the second embodiment. FIG. 8 is a diagram for explaining the second embodiment. FIG. 9 is a diagram for explaining the third embodiment. FIG. 10 is a block diagram of an embodiment of the collation / search system. FIG. 11 is a block diagram of the collation / search terminal device.

A first embodiment of the present invention will be described.

FIG. 1 is a block diagram of an embodiment of the present invention.

The first embodiment of the present invention detects an image capturing unit 1 that captures an image including an image including a predetermined region and an outline of a verification target object that is a genuine product, and detects a predetermined region from an image captured by the image capturing unit 1. A feature calculation unit 2 that calculates the features of the contour and position of a matching object that is a genuine product normalized with respect to a predetermined part, and the contour of the genuine product that is calculated by the feature calculation unit 2 The recording unit 3 in which the features of the position and the shape are recorded, the imaging unit 4 that captures an image including a predetermined part and outline of the verification target object that is the target of authentication verification, and the verification target image captured by the imaging unit 4 A feature calculation unit 5 that detects a predetermined part from the image and calculates the feature of the position and shape of the contour of the object to be verified that is normalized with reference to the predetermined part, and a verification target that is a genuine product Features of the position and shape of the contour of an object and authentication A matching and retrieval system having a matching portion 6 for matching the characteristics of the position and shape of the contour of the collation object.

Even though industrial products such as the Agriculture, Forestry and Fisheries Department and steel are handled as the same product (variety), the individual pieces are not exactly the same and the shapes are different. For this reason, even if the label affixed to the individual, the packaged box, or the exterior is the same, the shape, position, and posture of the individual are different from each other.

Therefore, the present invention uses the fact that the contour shape of the verification target object determined based on a predetermined part such as a label or an exterior is different for each individual / lot, and the authenticity verification target object registered is registered. It is to check whether it is the same as the product.

Here, the matching object to which the present invention is applied is not particularly limited as long as the contour is different for each individual, but examples of the contour being different for each individual are fruits, vegetables, meat, There are agricultural, forestry and fishery products such as fish and timber, and industrial products such as steel materials that differ from lot to lot.

In addition, the predetermined part of the verification target is a label affixed to the verification target, an exterior or package (box) that wraps the verification target, or a characteristic part that does not depend on the individual of the verification target It is.

In the following explanation, wood is used as an object to be verified, and a label attached to wood as a predetermined part is explained as an example. Further, the verification object registered in the recording unit 3 by the producer or the distribution manager is described as a genuine product, and the verification object to be verified by the distribution manager or the consumer is described as the authenticity verification object. To do.

The imaging unit 1 captures an image of wood including a predetermined part (label 11) of the wood 10 that is a regular product or inventory management target. A special device may be provided for imaging regular wood, but a digital camera equipped with a CCD, a CMOS, or a mobile phone may also be used.

FIG. 2 is a diagram showing a cross section of a regular wood 10 to be registered. As shown in FIG. 2, a label 11 is attached to the wood 10. In addition, although the sticking position of the label 11 is not specifically limited, when the cross section of the timber 10 is image | photographed by the imaging part 1, it is preferable to stick on the position which can image | photograph all. As illustrated in FIG. 2, the imaging unit 1 captures an image so that an entire image of the wood 10 including the label 11 can be captured.

In addition, if the object has a region with a visible feature that can specify the position and orientation regardless of the individual, such as the center of the annual ring or a mark engraved or written a predetermined figure, the part, A label can be substituted, and no label is required. Hereinafter, even when such a predetermined area exists and no label is used, the predetermined area is referred to as a label.

In addition, since the predetermined part is a region of appearance having characteristics that do not depend on an individual in the verification target, for example, literature (Toshinori Hosoi, Tetsuaki Suzuki, Satoshi Sato, face detection by generalized learning vector quantization, It is possible to automatically specify the location in the image by using a technology such as IEICE Technical Report, Volume 102 No. 651 (PRMU2002 201-210) pages 47-52), It is also possible to automatically take an image based on a predetermined part.

In addition, this technique is merely an example, and various known pattern detection techniques can be used. Further, JPEG or the like may be used regardless of the file format of the captured image. In addition, the photograph of the genuine product is photographed by a person who is involved in production (for example, a production farmer, an agricultural cooperative, or a factory) or a person who performs quality control of an object to be verified in the distribution process, but is limited to these persons. It is not something.

The feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1 and calculates the shape and position features of the contour of the genuine wood 10 normalized using the label 11 as a reference. .

For example, the feature calculation unit 2 specifies a region of the wood 10 from the image of the wood 10 using a difference in color between the background and the wood 10. Further, the position and shape of the label 11 are extracted from the image, and the feature is calculated based on the reference coordinate system of the position and size.

In addition, by storing the characteristics of the label 11 as registered data in advance, it is possible to use a label of a free design or an exterior pattern as a reference instead of a predetermined pattern such as a barcode. Specifically, features such as the shape, color, arrangement and size of the label 11, characters written on the label, and the like are stored in advance for detecting the label 11. In this way, the label 11 can be detected from the image.

Furthermore, the feature calculation unit 2 determines a reference coordinate system that serves as a reference for calculating the contour shape and position features of the wood 10 based on the label 11. FIG. 3 is an example of a reference coordinate system in which the top end 12 of the label 11 is the origin, the horizontal direction of the label 11 is the X axis, and the vertical direction of the label 11 is the Y axis.

After these settings, as shown in FIG. 4, the feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1, extracts the contour of the wood 10, and uses the contour as a reference coordinate system. And shape and position features such as contour distance θ from the origin are calculated. For the outline extraction, the technique described in “Journal of the Institute of Electronics, Information and Communication Engineers” 97/6 Vol.-J-80-D-II No6, Object contour extraction based on the degree of separation between regions can be used.

In addition, as for the image imaged with the imaging part 1, the top of a label is not necessarily image | photographed correctly as shown in FIG. Even in such a case, if the feature calculation unit 2 can correctly recognize the position of the label 11, even if the coordinate system is rotated as shown in FIG. The position can be specified in the basic coordinate system.

The storage unit 3 stores the shape and position features of the contour based on the label 11 of the genuine wood 10 calculated by the feature calculation unit 2. In addition, with respect to one regular product, the production area or production site of the regular product, producer name or manufacturer, variety, cultivation method, harvest date, production date, quality information (sugar content, etc.), eating time, raw materials, It may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.

The imaging unit 4 exists on the side where a consumer or the like performs verification of an authentic verification target, and has the same configuration as the imaging unit 1. A consumer or the like who requests collation captures an image including a label of wood, which is an authentic collation target. The captured image is transmitted to the feature calculation unit 5.

The feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the label 11 from the image of the wood that is the object of authenticity verification, and features the shape and position of the contour of the wood based on the label 11. Calculate Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.

The collation unit 6 collates the wood feature of the authenticity verification target object from the feature calculation unit 5 with the feature of the regular product recorded in the recording unit 3, and identifies which of the regular products it is.

As described above, according to the present embodiment, when the feature of the contour is used for collation, when the label or the exterior is disguised and pasted, the position of the contour of the authenticity verification target with reference to the label or the exterior And the posture changes, so that it is possible to determine impersonation or an error. In addition, even if the position of the label is known and the individual identification by the label itself is difficult, the position and orientation of the outline of the object to be verified with reference to the label and the exterior are also different for each individual. It is possible to search for management information.

In addition, although the label and the exterior are genuine, even if the genuine product itself is replaced with a fake, the contour of the individual itself is different, and the shape and position of the contour based on the label and the exterior also change. Therefore, the impersonation or error can be determined.

The feature calculation unit 2, the feature calculation unit 3 and the collation unit described above do not need to be on the producer or manager side for registering the genuine product, or on the manager or consumer side for authentic verification. You may provide in the collation process side in the form like a collation server.

Next, a second embodiment of the present invention will be described.

In the first embodiment described above, the case where there is a single individual that is an object to be collated and searched has been described. However, the present invention can be applied even when the collation / search object is a set of a plurality of individuals.

Therefore, in the second embodiment, an example will be described in which the verification target is composed of a plurality of individuals.

As an example of the case where the verification target object is composed of a plurality of individuals, a case where a plurality of individuals are collectively packaged together is conceivable. For example, as shown in FIG. 7, strawberries and the like are in a form in which a plurality of strawberries are packed in one tray 20 and wrapped and sold. In such a case, the arrangement of strawberries differs individually, and the contours formed by a plurality of strawberries as shown in FIG. 7 are also different. Therefore, if such an object composed of a plurality of individuals is used as one object to be verified, the object to be verified and the contour formed by the plurality of individuals forming the object to be verified have a one-to-one relationship. It can be used for collation of collation objects.

In the following description, an example will be described in which a state in which a plurality of strawberries are packaged in one tray is used as one object to be verified. Since the configuration of the verification system is the same, only the differences will be described.

First, take an image of the entire packaged strawberry. At this time, an image including not only strawberries but also a tray packed with strawberries is taken.

The feature object calculation unit 2 sets a reference coordinate system in advance with a tray filled with strawberries as a predetermined part. In the example of FIG. 8, the upper left end point of the tray 20 is detected from the label 21 stuck on the upper left side of the tray, this end point is set as the origin, the horizontal direction of the tray is the X axis, and the vertical direction of the tray is the Y axis. Define the reference coordinate system. Then, the feature calculation unit 2 detects the tray 20 and the label 21 from the image captured by the imaging unit 1, and calculates the feature of the contour shape and position composed of a plurality of strawberries normalized with the tray 20 as a reference. To do. The calculated feature is registered in the storage unit 3. In addition, with respect to one regular product, the production area or production site of the regular product, producer name or manufacturer, variety, cultivation method, harvest date, production date, quality information (sugar content, etc.), eating time, raw materials, It may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.

As with the imaging unit 1, the imaging unit 4 that exists on the side that performs verification of the authenticity verification target by the consumer or the like captures the entire image of the packaged strawberry that is the authenticity verification target. The captured image is transmitted to the feature calculation unit 5.

The feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the tray 20 from the entire image of the packaged strawberry that is the object of authenticity verification, and is normalized with reference to the tray 20. Calculate the shape and position features of the contour consisting of multiple strawberries. Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.

The collation unit 6 collates the packaged strawberry features of the authenticity verification object from the feature calculation unit 5 with the genuine product features recorded in the recording unit 3 to determine which regular product is the genuine product. Identify.

As described above, in the second embodiment, even when the object to be collated is composed of a plurality of individuals, the contour formed by the plurality of individuals is used for collation, so that Similarly, collation processing can be performed.

Next, a third embodiment will be described.

The third embodiment is characterized in that, in addition to the feature of the contour shape and position of the verification target object, the surface pattern of the verification target object in the contour of the verification target object is also used for verification.

表面 Surface patterns of agricultural, forestry and fishery products and industrial products such as leather vary from individual to individual. Therefore, if the surface pattern in the contour extracted from the image is also used for collation, individual collation with high accuracy can be performed. The matching object to which the present invention is applied is not particularly limited as long as the surface pattern of the matching object is characteristic. Examples of the matching object having a characteristic surface pattern include melon and strawberry. , Apples, lemons, none, tangerines, seafood, wood. The surface pattern of the object to be verified includes, for example, a surface pattern of melon, seed grains on the surface of a strawberry, fresh flower leaf veins, fish scales, wood grain and annual rings.

In the following explanation, a strawberry packaged as an object to be verified will be described as an example.

The feature unit 2 extracts a surface pattern in the extracted contour as a feature in addition to the operation of the second embodiment described above. FIG. 9 is a diagram showing an example in which spots on the epidermis of the strawberry within the extracted contour are extracted as features of the surface pattern. The feature extraction may be performed using a technique for extracting image features of a fingerprint such as a luminance value of an image, a feature point, an inflection point of a line of a binarized image, an intersection, an end point, and a center point. The extracted regular product packaged strawberry outline shape, position, and surface pattern features in the outline are registered in the recording unit 3.

The same processing is performed on the authenticity verification side, and is transmitted to the verification unit 6.

The collation unit 6 performs collation of the surface pattern in addition to the collation described in the second embodiment. A method for matching image features. For example, the end points, intersections, and corners of epidermis pattern lines are used as feature points (in the case of strawberry epidermis patterns, the center of the epidermis spot is the feature point). The arrangement of the points is collated, and when the number of pairs of feature points at the same position (range within a certain threshold) is equal to or greater than a predetermined number, the points are determined to be the same. As such a collation technique, an existing fingerprint collation technique can be used.

As described above, according to the third embodiment, in addition to the shape and position characteristics of the contour of the verification target object, the surface pattern of the verification target object in the contour of the verification target is also used for verification. A highly accurate collation process can be performed.

Hereinafter, specific examples of the collation system in the above-described embodiment will be described.

FIG. 10 is a block diagram of an embodiment of the collation / search system.

As shown in FIG. 10, the collation / retrieval system includes a feature extraction apparatus 100 installed on the production / management side of a collation target (for example, wood), a collation / search server 200 that performs collation / search, and a consumer. Mobile phone 300.

The image feature extraction apparatus 100 includes an imaging unit 101, a feature calculation unit 102, and a transmission unit 103. The imaging unit 101 and the feature calculation unit 102 have the same configuration as the imaging unit 1 and the feature calculation unit 2 described above. The transmission unit 103 transmits the image feature of the verification target (for example, wood) calculated by the feature calculation unit 102 and the manufacturing information (production location, producer name, production date, quality information, etc.) of the verification. .

The collation / search server 200 includes a database 201, a feature calculation unit 202, and a collation / search unit 203. The feature calculation unit 202 and the collation / retrieval unit 203 have the same configuration as the feature calculation unit 5 and the collation unit 6 described above. In the database 201, features of the shape and position of the contour based on the wood label transmitted from the feature extraction apparatus 100 on the producer side and the production information of the wood are stored in association with each other.

The mobile phone 300 includes an imaging unit 301 and a transmission / reception unit 302. The imaging unit 301 has the same configuration as the imaging unit 4 described above. The transmission unit 302 transmits an image including a wood label imaged by the imaging unit 301 to the collation / search server 200. Also, the determination result from the collation / search server 200 is received.

Next, the operation in the above configuration will be described.

First, the registration operation of the feature of the verification object (for example, wood) will be described.

The producer registers the feature of the label 11 attached to the wood as shown in FIG. Then, the whole image of the wood including the label 11 is taken by the imaging unit 101.

The feature calculation unit 102 detects the label 11 from the captured image of the wood 10 and calculates the feature of the shape and position of the contour of the wood based on the detected label 11.

Further, the producer inputs the photographed wood production information (production location, producer name, production date, quality information, etc.) to the feature extraction apparatus 100. Then, the transmission unit 103 transmits the characteristics of the wood 10 and the production information of the wood to the collation / search server 200.

The collation / search server 200 registers the characteristics of the wood from the producer's feature extraction apparatus 100 and the production information of the wood in the database 201.

Subsequently, the operation of the verification process will be described.

The consumer captures the entire image of the wood 10 including the label 11 by the imaging unit 301 of the mobile phone 300 in order to collate the wood 10 to be collated. The captured image is transmitted to the collation / search server 200 by the transmission / reception unit 302.

The image feature extraction apparatus 202 of the collation / search server 200 detects the label 11 of the wood 10 to be collated from the received image by the same method as described above, and the detected label 11 of the wood 10 is detected. Calculate contour shape and position features. The calculated feature is output to the collation / retrieval unit 203.

The collation / search unit 203 collates the received image feature with the feature registered in the database 201, and if there is a match, reads the production information associated with the feature and transmits it to the mobile phone 300. . On the other hand, if there is no match as a result of the verification, it is notified that the wallet to be verified is camouflaged.

The mobile phone 300 receives the authentication result from the verification / search server 200 and notifies the consumer.

Thus, in this embodiment, even if the consumer does not have special equipment, the product can be verified, and as a result of the verification, production information of the product can also be acquired. Further, not only the consumer but also the side managing the distribution can obtain the production information, so the distribution of the product can be managed.

In the above-described embodiment, the feature calculation unit 102 that first extracts the feature of the matching target is configured to be installed in the producer's device, but also serves as the feature calculation unit 202 of the matching / search server 200. You can also. In this case, the producer side is configured to transmit an image of the verification object.

Further, in the above-described embodiment, the collation / search server 200 is provided, and each consumer performs the collation processing by communication. However, the collation is performed from the database in which the contour feature of the collation target such as the database 201 is registered. The outline feature of the object may be downloaded in advance, and the matching process may be performed without communication. As shown in FIG. 11, the collation / search terminal device as described above includes a storage unit 300 that stores outline features of a collation target registered in a producer, an imaging unit 301, a feature calculation unit 302, and a collation / search. A unit 303 and a display unit 304 are provided. The imaging unit 301, the feature calculation unit 302, and the collation / search unit 303 have the same configuration as the above-described imaging unit, feature calculation unit, and collation / search unit, and the display unit 304 includes the collation / search unit 303. The collation result, production information of the collation target object when it is determined that they are identical, and the like are displayed.

As is clear from the above description, the feature amount calculation unit and the collation unit can be configured by hardware, but can also be realized by a computer program. In this case, functions and operations similar to those in the above-described embodiments and examples are realized by a processor that operates according to a program stored in the program memory.

Further, a part or all of the above-described embodiment can be described as in the following supplementary notes, but is not limited thereto.

(Additional remark 1) The 1st imaging means which images the image containing the predetermined part and outline of the collation target object which is a regular article or management object,
First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means;
Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means;
A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified;
Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means;
A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation.

(Additional remark 2) The said collation target object is an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually from agriculture, forestry and fishery products, an industrial product from which a shape of an outline differs for every individual, or an exterior. The collation / search system described in 1.

(Additional remark 3) The said predetermined | prescribed site | part is described in the additional remark 1 or the additional remark 2 which is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | carrying object has. Collation system.

(Additional remark 4) The said 1st and 2nd characteristic calculation means normalize the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 1 4. The verification system according to any one of 3.

(Supplementary note 5) The collation system according to any one of supplementary notes 1 to 4, wherein the collation target includes a plurality of individuals, and an outline formed by the plurality of individuals is an outline of the collation target.

(Additional remark 6) The said 1st and 2nd characteristic calculation means in addition to the characteristic of the shape and position of the outline of the said collation target object WHEREIN: The characteristic of the surface pattern of the said collation target object in the outline of the said collation target object Calculate
The recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour,
The collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. 6. The collation system according to any one of appendix 1 to collation 5 for collating the characteristics of the surface pattern.

(Additional remark 7) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the image containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification.

(Supplementary Note 8) The supplementary note is an agricultural, forestry or fishery product, an industrial product that has a difference in contour shape for each individual, or an industrial product that has a different contour because the fixed position / orientation with respect to the exterior differs individually. 7. The collation / search server according to 7.

(Additional remark 9) The said predetermined | prescribed site | part is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | individual with which the collation target object has Collation / search server.

(Additional remark 10) The said 1st and 2nd characteristic calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 7 9. The collation / search server according to any one of 9 above.

(Supplementary note 11) The collation / search server according to any one of supplementary notes 7 to 10, wherein the collation target includes a plurality of individuals, and the contour formed by the plurality of individuals is the contour of the collation target.

(Additional remark 12) From the image containing the predetermined part and outline of the verification target object which is a regular article or a management object, the feature of the shape and position of the outline of the verification target based on the predetermined part is calculated,
Storing the calculated contour shape and position characteristics of the regular product to be verified;
From the image including the predetermined part and contour of the verification object to be verified, calculate the contour shape and position characteristics of the verification object with reference to the predetermined part,
A collation / retrieval method for collating the contour shape and position characteristics of the verification target object that is the genuine product or the management target with the contour shape and position characteristics of the verification target object of the authenticity verification.

(Additional remark 13) The said collation target is described in the additional remark 12 which is an agricultural product which differs in the shape of an outline for every agriculture, forestry and fishery product, an individual, or an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually. Collation / search method.

(Supplementary Note 14) The predetermined part is any one of Supplementary Note 12 to Supplementary Note 13, which is a label affixed to the verification target, an exterior of the verification target, and a characteristic part that does not depend on an individual of the verification target. The collation / search method described.

(Supplementary note 15) The collation / retrieval method according to any one of supplementary note 12 to supplementary note 14, wherein a feature is calculated by normalizing a shape and a position of a contour of the verification target object based on a coordinate system based on the predetermined part.

(Supplementary note 16) The collation / search method according to any one of supplementary note 12 to supplementary note 15, wherein a collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is defined as a contour of the collation target.

(Additional remark 17) The process which calculates the feature of the shape and position of the outline of the collation target on the basis of the predetermined part from the image containing the predetermined part and the outline of the collation target which is a regular product or a management target
Processing for calculating the shape and position characteristics of the contour of the collation target with reference to the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A program that causes a computer to execute a process of comparing the shape and position characteristics of the contour of the verification target that is the genuine product or the management target with the contour shape and position characteristics of the verification target of the verification target.

(Additional remark 18) The shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of the authenticity verification And a feature extraction device having feature calculation means for calculating the feature of the position.

(Additional remark 19) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the picture containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.

Although the present invention has been described with reference to the preferred embodiments and examples, the present invention is not necessarily limited to the above-described embodiments and examples, and various modifications can be made within the scope of the technical idea. I can do it.

This application claims priority based on Japanese Patent Application No. 2011-166788 filed on July 29, 2011, the entire disclosure of which is incorporated herein.

1, 4 Imaging unit 2, 5 Feature calculation unit 3 Recording unit 6 Verification unit

Claims

A first imaging means for imaging an image including a predetermined part and contour of a verification target that is a regular product or a management target;
First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means;
Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means;
A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified;
Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means;
A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation.
2. The reference object according to claim 1, wherein the reference object is an agricultural, forestry, fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to the exterior is individually different. Collation / search system.
The collation according to claim 1 or 2, wherein the predetermined part is a label affixed to the collation target, an exterior of the collation target, or a characteristic part that does not depend on an individual of the collation target. system.
The said 1st and 2nd feature calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined | prescribed site | part, and calculates a feature. The verification system described in any one.
The collation system according to any one of claims 1 to 4, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target.
The first and second feature calculation means calculate the feature of the surface pattern of the verification target object in the contour of the verification target object, in addition to the shape and position characteristics of the contour of the verification target object,
The recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour,
The collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. The collation system according to any one of claims 1 to 5, wherein collation is performed with a feature of a surface pattern.
First feature calculation means for calculating the shape and position features of the contour of the collation target based on the predetermined portion from an image including the predetermined portion and contour of the collation target that is a regular product or a management target;
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification.
8. The verification object according to claim 7, wherein the object to be verified is an agricultural, forestry and fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to an exterior is individually different. Collation / search server.
The collation / claim according to claim 7 or 8, wherein the predetermined part is a label affixed to the collation target, an exterior of the collation target, or a characteristic part that does not depend on an individual of the collation target. Search server.
The first and second feature calculation means calculate features by normalizing the shape and position of the contour of the object to be verified based on a coordinate system based on the predetermined part. The collation / search server described in any one.
The collation / search server according to any one of claims 7 to 10, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target.
From the image including the predetermined part and contour of the verification target object that is a regular product or management target, calculate the shape and position characteristics of the contour of the verification target based on the predetermined part,
Storing the calculated contour shape and position characteristics of the regular product to be verified;
From the image including the predetermined part and contour of the verification object to be verified, calculate the contour shape and position characteristics of the verification object with reference to the predetermined part,
A collation / retrieval method for collating the contour shape and position characteristics of the verification target object that is the genuine product or the management target with the contour shape and position characteristics of the verification target object of the authenticity verification.
The collation / verification according to claim 12, wherein the collation target is an agricultural / forestry / fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to an exterior is individually different. retrieval method.
The said predetermined site | part is a characteristic site | part independent of the label affixed on the said collation target object, the exterior of the said collation target object, and the individual | individual which a collation target object has. Collation / search method.
The collation / retrieval method according to any one of claims 12 to 14, wherein a feature is calculated by normalizing a shape and a position of a contour of the collation target based on a coordinate system based on the predetermined part.
The collation / retrieval method according to any one of claims 12 to 15, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target.
A process of calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target that is a genuine product or a management target;
Processing for calculating the shape and position characteristics of the contour of the collation target with reference to the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A program that causes a computer to execute a process of comparing the shape and position characteristics of the contour of the verification target that is the genuine product or the management target with the contour shape and position characteristics of the verification target of the verification target.
Features of the shape and position of the contour of the collation target based on the predetermined portion from the image including the predetermined portion and contour of the collation target that is a genuine product or a management target, or a collation target to be verified A feature extraction device having a feature calculation means for calculating.
First feature calculation means for calculating the shape and position features of the contour of the collation target based on the predetermined portion from an image including the predetermined portion and contour of the collation target that is a regular product or a management target;
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.