CN113408526A - Image recognition anti-counterfeiting method and image recognition anti-counterfeiting system based on Handle identification positioning - Google Patents

Image recognition anti-counterfeiting method and image recognition anti-counterfeiting system based on Handle identification positioning Download PDF

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CN113408526A
CN113408526A CN202110676129.4A CN202110676129A CN113408526A CN 113408526 A CN113408526 A CN 113408526A CN 202110676129 A CN202110676129 A CN 202110676129A CN 113408526 A CN113408526 A CN 113408526A
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identification
counterfeiting
commodity
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dimensional code
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吕涛
李根茂
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Shenzhen Shubiao International Technology Co ltd
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Shenzhen Shubiao International Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0025Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/0185Product, service or business identity fraud

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Abstract

The invention provides an image recognition anti-counterfeiting method and an image recognition anti-counterfeiting system based on Handle identification positioning, and aims to solve the problem that in the prior art, anti-counterfeiting identification images of commodities are easy to copy and counterfeit, so that the counterfeit commodities are difficult to identify. The image recognition anti-counterfeiting method based on Handle identification positioning comprises the steps of receiving an anti-counterfeiting recognition image of a client; comparing the original commodity anti-counterfeiting identification image with the client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity; the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and a Handle identification two-dimensional code is arranged in the anti-counterfeiting identification area, and a symbolic symbol is arranged at a random position in the anti-counterfeiting identification area. All be equipped with independent Handle sign two-dimensional code on every commodity, the position of symbolic sign is random setting, and it is extremely difficult to realize the batch counterfeit.

Description

Image recognition anti-counterfeiting method and image recognition anti-counterfeiting system based on Handle identification positioning
Technical Field
The disclosure belongs to the technical field of commodity anti-counterfeiting, and particularly relates to an image recognition anti-counterfeiting method and an image recognition anti-counterfeiting system based on Handle identification positioning.
Background
The counterfeit and shoddy pirated emulational village is a social problem which hinders the development of enterprises and interferes the normal commercial order of the enterprises. How to effectively stop counterfeiting and faking is a difficult problem in front of each enterprise, and the current mainstream anti-counterfeiting technologies are classified into physical anti-counterfeiting and digital anti-counterfeiting.
The physical anti-counterfeiting is mainly realized by paper materials of commodity packages and anti-counterfeiting labels, printing processes, special printing ink and the like, and the problems of easy counterfeiting, high anti-counterfeiting cost, low true and false identification degree and the like exist universally.
The digital anti-counterfeiting is mainly realized by one-object one-code identification, but the identification image has the characteristic of reproducibility, so that the problems of easy counterfeiting, complex query steps and difficulty in identifying authenticity exist.
In addition, some anti-counterfeiting technologies are combined with digital anti-counterfeiting through physical anti-counterfeiting, such as coating two-dimensional codes, internal codes and external codes. However, in order to realize anti-counterfeiting by the technologies, package or anti-counterfeiting labels need to be damaged, and pre-sale anti-counterfeiting is difficult to realize.
Disclosure of Invention
The invention provides an image recognition anti-counterfeiting method and an image recognition anti-counterfeiting system based on Handle identification positioning, and aims to solve the problem that in the prior art, anti-counterfeiting identification images of commodities are easy to copy and counterfeit, so that the counterfeit commodities are difficult to identify.
In order to solve the technical problem, the technical scheme adopted by the disclosure is as follows:
in a first aspect, the present disclosure provides an image recognition anti-counterfeiting method based on Handle identification positioning, including:
receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client;
comparing an original commodity anti-counterfeiting identification image with a to-be-verified commodity and the same Handle identification two-dimensional code with a client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity;
the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
The further improved scheme is as follows: the symbolic symbol includes at least one of an anti-counterfeiting watermark, a production date and a production batch number.
Based on the scheme as follows: the anti-counterfeiting watermark, the production date and the production batch number belong to a symbolic symbol which is usually required to be configured for a commodity, and the cost is reduced by taking the symbolic symbol as the symbolic symbol; the symbolic symbols are randomly arranged on the commodity through a single process program during production, and when a plurality of symbolic symbols are adopted, the counterfeiting difficulty of a counterfeiter can be increased.
The further improved scheme is as follows: the color and/or size of the symbolic symbols are randomly set.
Based on the scheme as follows: on the basis of the random setting of the position of the symbolic symbol, the color and the size of the symbolic symbol are further randomly set, so that the counterfeiting difficulty of a counterfeiter can be further increased.
The further improved scheme is as follows: establishing and storing a relative position relation and a relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code according to the position and the size of the anti-counterfeiting identification area of the original commodity and the position and the size of the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
Based on the scheme as follows: the position and the size of the anti-counterfeiting identification area on the commodity to be verified can be calculated by combining the position and the size of the anti-counterfeiting identification area and the Handle identification two-dimensional code of the original commodity and the Handle identification two-dimensional code on the commodity to be verified, so that the client anti-counterfeiting identification image is obtained, and then the client anti-counterfeiting identification image can be processed through an image identification algorithm, so that the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are processed.
The further improved scheme is as follows: in the step of comparing the original commodity anti-counterfeiting identification image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting identification image, the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are converted into image digital fingerprints through an image identification algorithm and then compared.
The further improved scheme is as follows: correspondingly associating the anti-counterfeiting identification image of the original commodity, the identification code corresponding to the Handle identification two-dimensional code in the original commodity, and the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code one by one;
in the step of comparing the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting recognition image, scanning the Handle identification two-dimensional code of the commodity to be verified to obtain the identification code of the original commodity, and calling the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified through the identification code of the original commodity;
in the step of calling the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity with the same Handle identification two-dimensional code as the commodity to be verified and the Handle identification two-dimensional code; the method comprises the steps of obtaining an identification code of an original commodity by scanning a Handle identification two-dimensional code of the commodity to be verified, and calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code through the identification code of the original commodity.
In a second aspect, the present disclosure provides an image recognition anti-counterfeiting system based on Handle identification positioning, which is characterized in that the system comprises:
a receiving module: receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client;
a storage module: storing an original commodity anti-counterfeiting identification image;
an identification module: comparing an original commodity anti-counterfeiting identification image with a to-be-verified commodity and the same Handle identification two-dimensional code with a client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity;
the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
The further improved scheme is as follows: the storage module stores the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
In a third aspect, the present disclosure provides a method for making an anti-counterfeit recognition image based on Handle identification positioning, which is characterized by comprising:
arranging an anti-counterfeiting identification area on a commodity;
and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an anti-counterfeiting identification image.
The further improved scheme is as follows: the Handle identification two-dimensional code is arranged on the commodity in a printing or pasting mode.
The beneficial effect of this disclosure does:
in the method, an anti-counterfeiting identification area is arranged on a commodity, a Handle identification two-dimensional code is arranged in the anti-counterfeiting identification area, and a symbolic symbol is arranged at a random position in the anti-counterfeiting identification area to obtain an anti-counterfeiting identification image; because each commodity is provided with the independent Handle identification two-dimensional code, and the position of the symbolic symbol is randomly arranged, the counterfeiting difficulty of a counterfeiter is high, the process requirement is high, the manufacturing difficulty and cost of the counterfeiter are improved, and the batch counterfeiting is extremely difficult to realize.
In addition, when the authenticity of the commodity is verified, a client-side anti-counterfeiting identification image of the commodity to be verified is obtained through client-side scanning; comparing the original commodity anti-counterfeiting identification image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting identification image to judge whether the commodity is true or false; the authenticity of the commodity is judged by the image recognition anti-counterfeiting technology, and high-cost anti-counterfeiting materials are not needed, so that the anti-counterfeiting cost of enterprises is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present disclosure and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings may be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of an image recognition anti-counterfeiting method in the present disclosure.
Fig. 2 is a schematic structural diagram of an image recognition anti-counterfeiting system in the present disclosure.
Fig. 3 is a schematic flow chart of a method for making an anti-counterfeit identification image according to the present disclosure.
Detailed Description
The technical solution in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without inventive step, are within the scope of the disclosure. Furthermore, the numbering in the following is not intended to limit the order of the process flows in the present disclosure.
The first embodiment is as follows:
referring to fig. 1, the embodiment provides an image recognition anti-counterfeiting method based on Handle identification positioning, which includes:
s100, receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client.
The client is a mobile phone or tablet computer and other terminal equipment configured with a WeChat client or an anti-counterfeiting APP.
The commodity to be verified is a commodity which the customer wants to confirm whether the commodity is true or false.
The Handle identification (two-dimensional code) is a unique, legal, safe and permanent identification (two-dimensional code) of various entity objects on the internet, and functions of reading, positioning, tracking, inquiring, applying and the like of an identified object can be realized through the identification. The two-dimensional code is identified by the Handle, so that the commodity and the two-dimensional code can be in one-to-one correspondence.
The client anti-counterfeiting identification image refers to an image in an anti-counterfeiting identification area on the commodity to be verified.
S200, comparing the original commodity anti-counterfeiting identification image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; and when the similarity is smaller than a preset value, judging the commodity as suspected counterfeit goods.
The method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
The anti-counterfeiting identification area can be a virtual area, and a boundary is not set through a visible scribing line.
Wherein the symbolic symbol comprises at least one of an anti-counterfeiting watermark, a production date and a production batch number. The symbolic symbols can be arranged in one or more types, and the counterfeiting difficulty of counterfeiters can be increased with the increase of the number.
The Handle identification two-dimensional code is arranged on the commodity in a printing or pasting mode.
When the similarity is greater than a set value, the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are images from the same anti-counterfeiting identification area on the same commodity, and the commodity to be verified can be judged to be the original commodity; and when the similarity is smaller than a preset value, judging that the commodity is suspected to be fake (basically, judging that the commodity is fake, but having an error of misjudgment, and giving a certain reference to a checker).
The original commodity anti-counterfeiting identification image is an image in an anti-counterfeiting identification area on a genuine product, and the client anti-counterfeiting identification image is an image in the anti-counterfeiting identification area on a commodity to be verified; the original commodity anti-counterfeiting identification image is compared with the client anti-counterfeiting identification image, and whether the commodity to be verified is a genuine commodity or not can be judged.
On the basis of any scheme, the colors and/or sizes of the symbolic symbols are randomly set. On the basis of the random setting of the position of the symbolic symbol, the color and the size of the symbolic symbol are further randomly set, so that the counterfeiting difficulty of a counterfeiter can be further increased.
On the basis of any scheme, the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code are established and stored according to the position and the size of the anti-counterfeiting identification area of the original commodity and the position and the size of the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
The position and the size of the anti-counterfeiting identification area on the commodity to be verified can be calculated by combining the position and the size of the anti-counterfeiting identification area and the Handle identification two-dimensional code of the original commodity and the Handle identification two-dimensional code on the commodity to be verified, so that the client anti-counterfeiting identification image is obtained, and then the client anti-counterfeiting identification image can be processed through an image identification algorithm, so that the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are processed.
On the basis of any scheme, in the step of comparing the original commodity anti-counterfeiting identification image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting identification image, the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are converted into image digital fingerprints through an image identification algorithm and then are compared. For example, the image fingerprint comparison algorithm for the smart digital bank identifier: firstly, the coordinates of the identification are positioned by an identification two-dimensional code positioning algorithm, and an image of an anti-counterfeiting identification area is taken by taking the identification coordinates as a central point (the size of the anti-counterfeiting identification area is adjustable) to carry out image fingerprint coding on the identification area; the image fingerprint coding means that: the image was divided into 50 x 50, 100 x 100, etc. specifications, and each unit produced an image fingerprint with 16-ary characters. And then comparing the images with images uploaded by the user client by adopting the same algorithm. Similarity of the fingerprints is obtained through comparison; when the similarity is greater than a set value, the product can be judged to be a genuine product; when the similarity is smaller than the preset value, the product can be judged to be a suspected counterfeit product.
On the basis of any scheme, the anti-counterfeiting identification image of the original commodity, the identification code corresponding to the Handle identification two-dimensional code in the original commodity, and the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code are in one-to-one correspondence association;
in the step of comparing the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting recognition image, scanning the Handle identification two-dimensional code of the commodity to be verified to obtain the identification code of the original commodity, and calling the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified through the identification code of the original commodity;
in the step of calling the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity with the same Handle identification two-dimensional code as the commodity to be verified and the Handle identification two-dimensional code; the method comprises the steps of obtaining an identification code of an original commodity by scanning a Handle identification two-dimensional code of the commodity to be verified, and calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code through the identification code of the original commodity.
The Handle identification two-dimensional code is a two-dimensional code image, and the identification code is a string of characters; the content of the two-dimensional code of the Handle identification is the same as that of the identification code, and the expression forms are different.
Wherein, the identification code of former commodity is obtained through the Handle sign two-dimensional code of the commodity of waiting to verify of scanning, specifically is: and scanning the Handle identification two-dimensional code of the commodity to be verified, obtaining an identification code corresponding to the Handle identification two-dimensional code of the commodity to be verified, and calling the identification code of the original commodity, which is the same as the identification code corresponding to the Handle identification two-dimensional code, in a storage module of the cloud service platform. If the storage modules of the cloud service platform do not have the same identification code, the commodity can be directly judged to be a fake commodity.
Example two:
referring to fig. 2, the present disclosure provides an image recognition anti-counterfeiting system based on Handle identification positioning, including:
a receiving module: receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client;
a storage module: storing an original commodity anti-counterfeiting identification image;
an identification module: comparing an original commodity anti-counterfeiting identification image with a to-be-verified commodity and the same Handle identification two-dimensional code with a client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity;
the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
The receiving module, the storage module and the identification module are all located in the cloud service platform.
The further improved scheme is as follows: the storage module is also used for storing the relative position relationship and the relative size relationship between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
Example three:
referring to fig. 3, the present disclosure provides a method for manufacturing an anti-counterfeit recognition image based on Handle identification positioning, including:
arranging an anti-counterfeiting identification area on a commodity;
and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an anti-counterfeiting identification image.
On the basis of the scheme, the Handle identification two-dimensional code is arranged on the commodity in a printing or pasting mode.
The anti-counterfeiting identification image is manufactured on a production line, and an industrial high-speed camera is further arranged on the production line to collect relevant information of the anti-counterfeiting identification image and transmit the relevant information to a storage module of a cloud service platform through a network such as 5G.
When the anti-counterfeiting identification image is manufactured, equipment such as code pasting and code spraying is mainly used.
The disclosure is further illustrated below in conjunction with the working principle:
firstly, according to the method in the third embodiment, an anti-counterfeiting identification image is manufactured on a production line, and an original commodity anti-counterfeiting identification image is collected by an industrial high-speed camera and stored; when a client wants to check the authenticity of a commodity, the Handle identification two-dimensional code is scanned through the client, the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code are called according to the commodity identification code, the position and the size of the anti-counterfeiting identification area on the commodity to be verified are calculated, and an anti-counterfeiting identification image of the client is obtained; and comparing the client anti-counterfeiting identification image with the stored original commodity anti-counterfeiting identification image so as to judge the authenticity of the commodity to be verified.
The present disclosure is not limited to the above alternative embodiments, and any other various forms of products may be obtained by anyone in the light of the present disclosure, but any changes in shape or structure thereof fall within the scope of the present disclosure, which is defined by the claims of the present disclosure.

Claims (10)

1. An image recognition anti-counterfeiting method based on Handle identification positioning is characterized by comprising the following steps:
receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client;
comparing an original commodity anti-counterfeiting identification image with a to-be-verified commodity and the same Handle identification two-dimensional code with a client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity;
the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
2. The method as claimed in claim 1, wherein the symbolic symbol comprises at least one of a security watermark, a production date and a production batch number.
3. A method as claimed in claim 1 or 2, wherein the color and/or size of the symbolic symbol are randomly arranged.
4. The image recognition anti-counterfeiting method based on Handle identification positioning as claimed in claim 1, further comprising the steps of establishing and storing the relative position relationship and the relative size relationship between the anti-counterfeiting recognition area of the original commodity and the Handle identification two-dimensional code according to the position and the size of the anti-counterfeiting recognition area of the original commodity and the position and the size of the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
5. The image recognition anti-counterfeiting method based on Handle identification positioning as claimed in claim 4, characterized in that the anti-counterfeiting recognition image of the original commodity, the identification code corresponding to the two-dimensional code of the Handle identification in the original commodity, and the relative position relationship and the relative size relationship between the anti-counterfeiting recognition area of the original commodity and the two-dimensional code of the Handle identification are associated in a one-to-one correspondence manner;
in the step of comparing the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting recognition image, scanning the Handle identification two-dimensional code of the commodity to be verified to obtain the identification code of the original commodity, and calling the original commodity anti-counterfeiting recognition image with the same Handle identification two-dimensional code as the commodity to be verified through the identification code of the original commodity;
in the step of calling the relative position relation and the relative size relation between the anti-counterfeiting identification area of the original commodity with the same Handle identification two-dimensional code as the commodity to be verified and the Handle identification two-dimensional code; the method comprises the steps of obtaining an identification code of an original commodity by scanning a Handle identification two-dimensional code of the commodity to be verified, and calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code through the identification code of the original commodity.
6. The Handle identification positioning-based image identification anti-counterfeiting method according to claim 1, wherein in the step of comparing the original commodity anti-counterfeiting identification image with the same Handle identification two-dimensional code as the commodity to be verified with the client anti-counterfeiting identification image, the original commodity anti-counterfeiting identification image and the client anti-counterfeiting identification image are converted into image digital fingerprints through an image identification algorithm and then compared.
7. An image recognition anti-counterfeiting system based on Handle identification positioning is characterized by comprising: a receiving module: receiving a client anti-counterfeiting identification image obtained by scanning a Handle identification two-dimensional code on a commodity to be verified by a client;
a storage module: storing an original commodity anti-counterfeiting identification image;
an identification module: comparing an original commodity anti-counterfeiting identification image with a to-be-verified commodity and the same Handle identification two-dimensional code with a client anti-counterfeiting identification image; when the similarity is greater than a set value, judging the commodity to be verified as the original commodity; when the similarity is smaller than a preset value, judging the commodity as a suspected fake commodity;
the method for making the anti-counterfeiting identification image of the original commodity comprises the following steps: arranging an anti-counterfeiting identification area on a commodity; and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an original commodity anti-counterfeiting identification image.
8. The system of claim 7, wherein the storage module stores the relative position relationship and the relative size relationship between the anti-counterfeiting identification area of the original commodity and the Handle identification two-dimensional code;
the client anti-counterfeiting identification image acquisition method comprises the following steps: the method comprises the steps of scanning a Handle identification two-dimensional code on a commodity to be verified, calling a relative position relation and a relative size relation between an anti-counterfeiting identification area of an original commodity which has the same Handle identification two-dimensional code with the commodity to be verified and the Handle identification two-dimensional code, calculating the position and the size of the anti-counterfeiting identification area on the commodity to be verified, and obtaining an anti-counterfeiting identification image of a client.
9. A method for manufacturing an anti-counterfeiting identification image based on Handle identification positioning is characterized by comprising the following steps:
arranging an anti-counterfeiting identification area on a commodity;
and setting a Handle identification two-dimensional code in the anti-counterfeiting identification area, and setting a symbolic symbol at a random position in the anti-counterfeiting identification area to obtain an anti-counterfeiting identification image.
10. The method for image recognition and anti-counterfeiting manufacturing based on Handle logo positioning as claimed in claim 9, wherein the Handle logo two-dimensional code is arranged on the commodity in a printing or pasting manner.
CN202110676129.4A 2021-06-18 2021-06-18 Image recognition anti-counterfeiting method and image recognition anti-counterfeiting system based on Handle identification positioning Pending CN113408526A (en)

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Application publication date: 20210917