CN109472337B - Label anti-counterfeiting method and device based on random characteristics - Google Patents
Label anti-counterfeiting method and device based on random characteristics Download PDFInfo
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- CN109472337B CN109472337B CN201811308164.5A CN201811308164A CN109472337B CN 109472337 B CN109472337 B CN 109472337B CN 201811308164 A CN201811308164 A CN 201811308164A CN 109472337 B CN109472337 B CN 109472337B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
- G06K19/06037—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking multi-dimensional coding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
- G06K19/06046—Constructional details
- G06K19/06178—Constructional details the marking having a feature size being smaller than can be seen by the unaided human eye
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The embodiment of the application discloses a label anti-counterfeiting method and device based on random features, wherein when anti-counterfeiting is carried out by utilizing an anti-counterfeiting label, the anti-counterfeiting label is formed according to related numbers corresponding to an obtained target product, in the process, some random features can be naturally formed, have randomness, uniqueness and uncopyability and are not easy to be counterfeited, so that in the process of generating the random features, random feature images corresponding to the random features can be obtained, and the random feature images can be acquired through an image identification technology; and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard. Therefore, compared with the traditional method, the method takes the random characteristic generated in the process of manufacturing the anti-counterfeit label as a standard for checking the anti-counterfeit label when the label is anti-counterfeit, can effectively avoid the problems of copying and counterfeiting of the anti-counterfeit product, can accurately identify the authenticity and has good anti-counterfeit performance.
Description
Technical Field
The application relates to the field of anti-counterfeiting, in particular to a label anti-counterfeiting method and device based on random characteristics.
Background
At present, with the rapid development of social economy, the living standard of people is greatly improved, the types of commodities are more and more diversified, and counterfeit commodities imitating and forging famous brand products are generated, and counterfeit products of genuine products and genuine products are also produced.
At present, various anti-counterfeiting products exist, such as anti-counterfeiting labels, anti-counterfeiting logistics labels and the like, wherein the anti-counterfeiting labels and the anti-counterfeiting logistics labels can be two-dimensional codes, bar codes and the like. The anti-counterfeiting product generally uses a digital generation technology to generate relevant digital codes, such as anti-counterfeiting codes and/or logistics codes, and then sends the corresponding Guan Shuma to a printing factory for printing, so as to obtain a graph distributed on a plane according to a certain rule, and record data information.
However, the pattern corresponding to the anti-counterfeiting product generally has a certain distribution rule and is a regular pattern, so that the anti-counterfeiting product has the problem of easy copying and counterfeiting, and therefore, the anti-counterfeiting performance is poor.
Disclosure of Invention
In order to solve the technical problems, the application provides a label anti-counterfeiting method and device based on random characteristics, which can effectively avoid the problem that anti-counterfeiting products are copied and counterfeited, can accurately identify authenticity and has good anti-counterfeiting performance.
The embodiment of the application discloses the following technical scheme:
in a first aspect, an embodiment of the present application provides a label anti-counterfeit method based on random features, where the method includes:
forming an anti-counterfeiting label according to the obtained relevant digital code corresponding to the target product, wherein the anti-counterfeiting label comprises the relevant digital code and random characteristics;
acquiring a random feature image corresponding to the random feature, wherein the random feature image is acquired through an image recognition technology;
and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard.
Optionally, the random features are microscopic random features, and the random feature images are obtained by photographing and collecting the anti-counterfeit label through a high-speed camera.
Optionally, the random features include one or more of a shape feature, a position offset feature, a color feature.
Optionally, the method further comprises:
acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises the random characteristic image to be checked;
and verifying the anti-counterfeiting label image according to the random characteristic image to be verified and the anti-counterfeiting characteristic standard.
Optionally, the verifying the anti-counterfeit label image according to the random feature image to be verified and the anti-counterfeit feature standard includes:
comparing whether the random characteristic image to be checked is consistent with the anti-counterfeiting characteristic standard or not;
if the verification is consistent, the verification is passed, and if the verification is inconsistent, the verification is failed.
Optionally, if the random feature is the position offset feature, the comparing whether the random feature image to be checked is consistent with the anti-counterfeiting feature standard includes:
extracting feature points to be verified of the random feature images to be verified, and determining coordinates of the feature points to be verified;
extracting standard feature points of the anti-counterfeiting feature standard, and determining coordinates of the standard feature points;
and comparing whether the coordinates of the feature points to be checked are consistent with the coordinates of the standard feature points.
Optionally, if the relevant number corresponding to the target product is used as an anti-counterfeit number standard, before the verifying the anti-counterfeit label image according to the random feature image, the method further includes:
comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital code standard or not;
and if the random characteristic images are consistent, executing the step of verifying the anti-counterfeit label image according to the random characteristic images.
In a second aspect, an embodiment of the present application provides a label anti-counterfeit method based on random features, where an anti-counterfeit label includes a relevant number and random features corresponding to a target product, and a random feature image corresponding to the random features is stored, and the method includes:
acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked;
and verifying the anti-counterfeiting label image according to the random characteristic image to be verified and an anti-counterfeiting characteristic standard, wherein the anti-counterfeiting characteristic standard is the stored random characteristic image, and the random characteristic image is acquired through an image identification technology.
In a third aspect, an embodiment of the present application provides a tag anti-counterfeit device based on random features, where the device includes a forming unit, a first obtaining unit, and a storage unit:
the forming unit is used for forming an anti-counterfeiting label according to the obtained relevant digital code corresponding to the target product, and the anti-counterfeiting label comprises the relevant digital code and the random characteristic;
the first acquisition unit is used for acquiring a random feature image corresponding to the random feature, and the random feature image is acquired through an image identification technology;
the storage unit stores the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard.
Optionally, the random features are microscopic random features, and the random feature images are obtained by photographing and collecting the anti-counterfeit label through a high-speed camera.
Optionally, the random features include one or more of a shape feature, a position offset feature, a color feature.
Optionally, the device further includes a second acquisition unit and a verification unit:
the second acquisition unit is used for acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises the random characteristic image to be checked;
and the verification unit is used for verifying the anti-counterfeiting label image according to the random characteristic image to be verified and the anti-counterfeiting characteristic standard.
Optionally, the verification unit is configured to compare whether the random feature image to be verified is consistent with the anti-counterfeiting feature standard; if the verification is consistent, the verification is passed, and if the verification is inconsistent, the verification is failed.
Optionally, if the random feature is the position offset feature, the verification unit is configured to extract a feature point to be verified of the random feature image to be verified, and determine coordinates of the feature point to be verified; extracting standard feature points of the anti-counterfeiting feature standard, and determining coordinates of the standard feature points, wherein the standard feature points correspond to the feature points to be verified; and comparing whether the coordinates of the feature points to be checked are consistent with the coordinates of the standard feature points.
Optionally, if the relevant number corresponding to the target product is used as an anti-counterfeiting digital standard, the device checking unit is further configured to compare whether the relevant number in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital standard; and if the random characteristic images are consistent, executing the step of verifying the anti-counterfeit label image according to the random characteristic images.
In a fourth aspect, an embodiment of the present application provides a tag anti-counterfeit device based on random features, where an anti-counterfeit tag includes a relevant number and random features corresponding to a target product, and a random feature image corresponding to the random features is stored, and the device includes an acquisition unit and a verification unit:
the acquisition unit is used for acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked;
the verification unit is used for verifying the anti-counterfeiting label image according to the random characteristic image to be verified and an anti-counterfeiting characteristic standard, wherein the anti-counterfeiting characteristic standard is the stored random characteristic image, and the random characteristic image is acquired through an image identification technology.
According to the technical scheme, the embodiment of the application has the following advantages:
when anti-counterfeiting is carried out by utilizing the anti-counterfeiting label, the anti-counterfeiting label is formed according to the obtained relevant digital code corresponding to the target product, in the process, random characteristics possibly generated due to equipment shake and the like are naturally formed, and the random characteristics have randomness, uniqueness and irreproducibility and are not easy to be counterfeited, so that the anti-counterfeiting label not only comprises the generated relevant digital code, but also comprises the random characteristics. In the process of generating random features, random feature images corresponding to the random features can be acquired, and the random feature images can be acquired through an image recognition technology; and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard. Therefore, compared with the traditional method, the method takes the random characteristic generated in the process of manufacturing the anti-counterfeit label as a standard for checking the anti-counterfeit label when the label is anti-counterfeit, can effectively avoid the problems of copying and counterfeiting of the anti-counterfeit product, can accurately identify the authenticity and has good anti-counterfeit performance.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a label anti-counterfeiting method based on random features provided in an embodiment of the present application;
fig. 2 is a schematic diagram of an application system for forming an anti-counterfeit label according to an embodiment of the present application;
FIG. 3 is an exemplary diagram of a random feature provided by an embodiment of the present application;
FIG. 4 is an exemplary diagram of a random feature provided by an embodiment of the present application;
fig. 5 is a flowchart of a label anti-counterfeiting method based on random features according to an embodiment of the present application;
fig. 6 is a diagram illustrating an exemplary display interface for triggering shooting of an anti-counterfeit label according to an embodiment of the present application;
FIG. 7a is a diagram illustrating an exemplary verification result display interface according to an embodiment of the present application;
FIG. 7b is a diagram illustrating an exemplary verification result display interface according to an embodiment of the present application;
fig. 8 is an exemplary diagram of verifying an anti-counterfeit label based on a position offset feature according to an embodiment of the present application;
fig. 9 is a block diagram of a label anti-counterfeit device based on random characteristics according to an embodiment of the present application;
fig. 10 is a block diagram of a label anti-counterfeit device based on random features according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the accompanying drawings.
The patterns corresponding to the traditional anti-counterfeiting products generally have a certain distribution rule and are regular patterns, so that the anti-counterfeiting products have the problem of easy copying and counterfeiting, and therefore, the anti-counterfeiting performance is poor.
Therefore, the embodiment of the application provides a label anti-counterfeiting method based on random features, when the label is anti-counterfeiting, the random features generated due to equipment shake and the like in the process of manufacturing and pasting the anti-counterfeiting label are used as a standard for checking the anti-counterfeiting label, and the random features are naturally formed, have randomness, uniqueness and uncopyability and are not easy to counterfeit, so that the method can effectively avoid the problems of copying and counterfeiting of the anti-counterfeiting product, can accurately identify the authenticity and has good anti-counterfeiting performance.
The label anti-counterfeiting method based on the random characteristics provided by the embodiment of the application is described in detail below with reference to the accompanying drawings.
The label anti-counterfeiting method provided by the embodiment of the application is mainly introduced from two aspects of how to obtain the anti-counterfeiting label based on the random characteristic and how to check the anti-counterfeiting label based on the random characteristic. First, how to obtain an anti-counterfeit label based on random features is described, referring to fig. 1, fig. 1 is a flowchart of an anti-counterfeit method for a label based on random features, provided in an embodiment of the present application, where the method includes:
s101, forming an anti-counterfeiting label according to the acquired relevant digital code corresponding to the target product.
Wherein, the anti-counterfeiting label comprises the relevant digital code and random characteristics.
In this embodiment, the relevant number may include an anti-counterfeit code, and of course, in order to prevent the blowby, the relevant number may also include an anti-counterfeit code and a logistics code.
It should be noted that, taking the case that the related digital code includes an anti-counterfeit code and a logistics code as an example, in general, the process of forming the anti-counterfeit label of the target product mainly includes: generating an anti-counterfeiting code and a logistics code by using a digital generation technology; issuing the anti-counterfeiting code and the logistics code to a server corresponding to a printing factory so as to print the anti-counterfeiting code and the logistics code; and sticking the printed anti-counterfeiting code and the logistics code on the target product, thereby forming the anti-counterfeiting label of the target product. Wherein the flow may be accomplished through a system architecture diagram such as that shown in fig. 2.
The system architecture diagram shown in fig. 2 includes a code generation server 201, a code detection server 202, a delivery server 203, a factory code receiving server 204, a printer 205, and an anti-counterfeit label device 206. The code generation server 201 is configured to generate an anti-counterfeiting code and a logistics code, the code detection server 202 is configured to verify the generated anti-counterfeiting code and logistics code, the issuing server 203 is configured to issue the anti-counterfeiting code and logistics code to the printing factory code receiving server 204, the printer 205 is configured to print the anti-counterfeiting code and logistics code received by the printing factory code receiving server 204, and the anti-counterfeiting label pasting device 206 is configured to paste the printed anti-counterfeiting label at a corresponding position of a target product.
It will be appreciated that during this process, particularly during printing and pasting, random features may be formed that are random, unique, non-replicable, and may improve the reliability of the security tag due to the characteristics of device jitter, ambient light changes, and molecular/atomic motion due to temperature changes. Wherein the random features include one or more of shape features, position offset features, color features.
The shape features may be, for example: in the printing process, due to the shake of the printer, a sawtooth feature is formed, as shown in fig. 3, wherein a dotted line box indicates the printer, 301 indicates an anti-counterfeit label seen by naked eyes, although the shake of the printer can generate the sawtooth feature, the sawtooth feature is difficult to see by naked eyes, and 302 indicates an anti-counterfeit label which is obtained by amplifying part of the anti-counterfeit label 301 and shows random features; the position offset feature may be, for example: in the process of pasting the anti-counterfeit label, due to the shake of a belt line of the anti-counterfeit label pasting device, a position deviation characteristic is formed, as shown in fig. 4, wherein 401 represents a surface of a target product for pasting the anti-counterfeit label, 402 represents the anti-counterfeit label, in fig. 4, the anti-counterfeit label 402 in the left side graph is far from the right side edge of the surface 401 of the target product, and the anti-counterfeit label 402 in the right side graph is near to the right side edge of the surface 401 of the target product; the color features may be due to variations in the distribution, angle, etc. of the graphics on the security tag.
S102, acquiring a random feature image corresponding to the random feature.
The random characteristic images are acquired through an image recognition technology.
In general, the random features may be microscopic random features, which are difficult to observe by naked eyes, and the random feature images may be obtained by photographing and collecting the anti-counterfeit label through a high-speed camera.
S103, storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard.
Because the random features have the characteristics of randomness, uniqueness, irreproducibility and the like, in order to improve the reliability of the anti-counterfeit label when the label is anti-counterfeit, the related numbers are used as a standard for checking the anti-counterfeit label, and the random features can be used as a standard for checking the anti-counterfeit label. Thus, after the random feature image is obtained, the random feature image can be stored, and the random feature image is used as an anti-counterfeiting feature standard to verify the anti-counterfeiting label according to the anti-counterfeiting feature standard. The random feature image may be stored in a database, and the security feature standard may be obtained from the database when the security tag is verified using the security feature standard.
When anti-counterfeiting is carried out by utilizing the anti-counterfeiting label, the anti-counterfeiting label is formed according to the obtained relevant digital code corresponding to the target product, in the process, random characteristics possibly generated due to equipment shake and the like are naturally formed, and the random characteristics have randomness, uniqueness and irreproducibility and are not easy to be counterfeited, so that the anti-counterfeiting label not only comprises the generated relevant digital code, but also comprises the random characteristics. In the process of generating random features, random feature images corresponding to the random features can be acquired, and the random feature images can be acquired through an image recognition technology; and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard. Therefore, compared with the traditional method, the method takes the random characteristic generated in the process of manufacturing the anti-counterfeit label as a standard for checking the anti-counterfeit label when the label is anti-counterfeit, can effectively avoid the problems of copying and counterfeiting of the anti-counterfeit product, can accurately identify the authenticity and has good anti-counterfeit performance.
In addition, the random characteristic is naturally generated in the process of printing and pasting the anti-counterfeiting label, the production and printing cost is hardly increased, the process is simple, and the implementation and popularization are easy.
The method provided by the embodiment can form the anti-counterfeiting label based on the random characteristic and has the capability of performing label anti-counterfeiting based on the random characteristic, and then, how to verify the anti-counterfeiting label based on the random characteristic so as to realize label anti-counterfeiting is introduced.
Referring to fig. 5, fig. 5 is a flowchart of a label anti-counterfeiting method based on random features, where the method includes:
s501, acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked.
In this embodiment, the manner of obtaining the anti-counterfeit label image of the target product may be: and uploading the anti-counterfeiting label image to a server by the terminal equipment. The terminal device may photograph an anti-counterfeit label image, for example, the terminal device may photograph the anti-counterfeit label by using Application (APP) of label anti-counterfeit, the APP may be installed on the terminal device, the terminal device may be an electronic device with a camera, and the camera has a capability of acquiring a random feature image to be verified, for example, a smart phone, a computer, a personal digital assistant (PersonalDigitalAssistant, PDA), a tablet computer, and the like.
Taking a consumer checking the anti-counterfeit label and taking the terminal device as a smart phone as an example, after obtaining a product, the consumer may need to query the anti-counterfeit label on the product to check whether the anti-counterfeit label is consistent with the anti-counterfeit label used by a merchant corresponding to the product, thereby determining the authenticity of the product. Specifically, a consumer can start a tag anti-counterfeiting APP on the smart phone, and trigger shooting of the anti-counterfeiting tag through a shooting tag entrance, so that an anti-counterfeiting tag image of the target product is obtained. The display interface for triggering shooting of the anti-counterfeit label may be shown in fig. 6, where 601 may be a shooting label entry.
In order to enable the photographed anti-counterfeit label image to include the random feature image to be verified, for example, the random feature image includes a position offset feature image, when the anti-counterfeit label is photographed, the surface to which the anti-counterfeit label is attached may be photographed.
S502, verifying the anti-counterfeiting label image according to the random feature image to be verified and the anti-counterfeiting feature standard.
The anti-counterfeiting feature standard is a stored random feature image, and the random feature image is acquired through an image recognition technology in the process of forming the anti-counterfeiting label.
In this embodiment, since the random feature has characteristics of randomness, uniqueness, non-replicability, and the like, when the anti-counterfeit label is verified to realize label anti-counterfeit, in order to ensure the reliability of the anti-counterfeit label, the anti-counterfeit label image needs to be verified according to the random feature image to be verified and the anti-counterfeit feature standard.
It should be noted that, since the shape feature in the random feature may be represented by the texture of the anti-counterfeit label, verification of the anti-counterfeit label image according to the random feature image to be verified and the anti-counterfeit feature standard may be achieved by texture verification, as shown in fig. 7a and 7b, and correspondingly, verification of the color feature may be achieved by color change verification, as shown in fig. 7a and 7 b.
It should be noted that, if the relevant number corresponding to the target product is used as the anti-counterfeiting number standard, before S502, the method further includes: comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital code standard or not; if so, S502 is performed.
Whether the anti-counterfeit label is counterfeited or not can be preliminarily determined through verification of the relevant numbers, and when the relevant numbers in the anti-counterfeit label image are inconsistent with the anti-counterfeit number standard, namely the verification of the relevant numbers is not passed, the anti-counterfeit label can be determined to be counterfeited without continuously executing S502, so that the verification efficiency is improved; when the relevant number in the anti-counterfeit label image is consistent with the anti-counterfeit number standard, that is, the verification of the relevant number passes, S502 can be continuously executed, so as to further improve the reliability of the anti-counterfeit label.
As an example, one implementation of S502 may be: comparing whether the random characteristic image to be checked is consistent with the anti-counterfeiting characteristic standard or not; if the verification is consistent, the verification is passed, if the verification is inconsistent, the verification is failed, and the anti-counterfeit label can be considered to be counterfeit, and the product can be a counterfeit product.
It should be noted that, if the random feature is a position offset feature, one implementation way of comparing whether the random feature image to be checked is consistent with the anti-counterfeiting feature standard may be: extracting feature points to be verified of the random feature images to be verified, and determining coordinates of the feature points to be verified; extracting standard feature points of the anti-counterfeiting feature standard, and determining coordinates of the standard feature points, wherein the standard feature points correspond to the feature points to be verified; and comparing whether the coordinates of the feature points to be checked are consistent with the coordinates of the standard feature points.
For example, as shown in fig. 8, the left side of fig. 8 is an anti-counterfeiting feature standard, the left side is an anti-counterfeiting feature standard, four vertex coordinates of the left upper, right upper, left lower and right lower of the random feature image to be verified are extracted, the four vertices A, B, C, D can be used as feature points to be verified, vertex coordinates of the anti-counterfeiting feature standard, which sequentially correspond to the four vertices of the random feature image to be verified, are extracted, vertexes a ', B', C ', D' of the anti-counterfeiting feature standard, which sequentially correspond to the four vertices of the random feature image to be verified, can be used as standard feature points, whether the coordinates of the corresponding vertexes are consistent or not is compared, and if the four vertex coordinates are consistent, the random feature image to be verified is considered to be consistent with the anti-counterfeiting feature standard.
In this embodiment, after the anti-counterfeit label is verified, a verification result may be obtained, where the verification result may include a digital verification result and a random feature verification result, and the random feature verification result may include a texture verification result, a color-changing verification result and a position deviation feature verification result, and the verification result may be displayed to a consumer through a terminal device, so that the consumer knows the authenticity of the product. The display interface of the verification result may be as shown in fig. 7a and fig. 7b, where fig. 7a shows a display interface where the verification result is that the verification passes, fig. 7b shows a display interface where the verification result is that the verification fails, and fig. 7a and fig. 7b show only the texture verification result, the color change verification result, and the digital verification result, which do not constitute a limitation on the verification result. If the verification result is that the verification passes, a 'v' can be marked behind the verification result, otherwise, a 'x' can be marked.
Based on the label anti-counterfeiting method based on the random characteristics, the embodiment also provides a label anti-counterfeiting device based on the random characteristics. Referring to fig. 9, fig. 9 shows a block diagram of a recommendation device of a relationship tag, which includes a forming unit 901, a first acquiring unit 902, and a storing unit 903:
the forming unit 901 is configured to form an anti-counterfeit label according to the obtained relevant digital code corresponding to the target product, where the anti-counterfeit label includes the relevant digital code and a random feature;
the first obtaining unit 902 is configured to obtain a random feature image corresponding to the random feature, where the random feature image is acquired by using an image recognition technology;
the storage unit 903 stores the random feature image as an anti-counterfeit feature standard, so as to verify the anti-counterfeit label according to the anti-counterfeit feature standard.
Optionally, the random features are microscopic random features, and the random feature images are obtained by photographing and collecting the anti-counterfeit label through a high-speed camera.
Optionally, the random features include one or more of a shape feature, a position offset feature, a color feature.
Optionally, the device further includes a second acquisition unit and a verification unit:
the second acquisition unit is used for acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises the random characteristic image to be checked;
and the verification unit is used for verifying the anti-counterfeiting label image according to the random characteristic image to be verified and the anti-counterfeiting characteristic standard.
Optionally, the verification unit is configured to compare whether the random feature image to be verified is consistent with the anti-counterfeiting feature standard; if the verification is consistent, the verification is passed, and if the verification is inconsistent, the verification is failed.
Optionally, if the random feature is the position offset feature, the verification unit is configured to extract a feature point to be verified of the random feature image to be verified, and determine coordinates of the feature point to be verified; extracting standard feature points of the anti-counterfeiting feature standard, and determining coordinates of the standard feature points, wherein the standard feature points correspond to the feature points to be verified; and comparing whether the coordinates of the feature points to be checked are consistent with the coordinates of the standard feature points.
Optionally, if the relevant number corresponding to the target product is used as an anti-counterfeiting digital standard, the device checking unit is further configured to compare whether the relevant number in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital standard; and if the random characteristic images are consistent, executing the step of verifying the anti-counterfeit label image according to the random characteristic images.
When anti-counterfeiting is carried out by utilizing the anti-counterfeiting label, the anti-counterfeiting label is formed according to the obtained relevant digital code corresponding to the target product, in the process, random characteristics possibly generated due to equipment shake and the like are naturally formed, and the random characteristics have randomness, uniqueness and irreproducibility and are not easy to be counterfeited, so that the anti-counterfeiting label not only comprises the generated relevant digital code, but also comprises the random characteristics. In the process of generating random features, random feature images corresponding to the random features can be acquired, and the random feature images can be acquired through an image recognition technology; and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard. Therefore, compared with the traditional method, the method takes the random characteristic generated in the process of manufacturing the anti-counterfeit label as a standard for checking the anti-counterfeit label when the label is anti-counterfeit, can effectively avoid the problems of copying and counterfeiting of the anti-counterfeit product, can accurately identify the authenticity and has good anti-counterfeit performance.
The embodiment of the application also provides a label anti-counterfeiting device based on random features, the anti-counterfeiting label comprises a related number and random features corresponding to a target product, random feature images corresponding to the random features are stored, and referring to fig. 10, the device comprises an acquisition unit 1001 and a verification unit 1002:
the acquiring unit 1001 is configured to acquire an anti-counterfeit label image of the target product, where the anti-counterfeit label image includes a random feature image to be verified;
the verification unit 1002 is configured to verify the anti-counterfeit label image according to the random feature image to be verified and an anti-counterfeit feature standard, where the anti-counterfeit feature standard is the stored random feature image, and the random feature image is acquired through an image recognition technology.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, where the above program may be stored in a computer readable storage medium, and when the program is executed, the program performs steps including the above method embodiments; and the aforementioned storage medium may be at least one of the following media: read-only memory (ROM), RAM, magnetic disk or optical disk, etc., which can store program codes.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment is mainly described in a different point from other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, with reference to the description of the method embodiments in part. The apparatus and system embodiments described above are merely illustrative, in which elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing is merely one specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A label anti-counterfeiting method based on random features, the method comprising:
forming an anti-counterfeiting label according to the obtained relevant digital code corresponding to the target product, wherein the anti-counterfeiting label comprises the relevant digital code and random characteristics; the related digital code comprises an anti-counterfeiting code and a logistics code, and the generation process of the anti-counterfeiting label comprises the following steps: generating an anti-counterfeiting code and a logistics code by using a digital generation technology; issuing the anti-counterfeiting code and the logistics code to a server corresponding to a printing factory, printing the anti-counterfeiting code and the logistics code, and pasting the printed anti-counterfeiting code and logistics code on the target product;
acquiring a random feature image corresponding to the random feature, wherein the random feature image is acquired through an image recognition technology; the random features are microcosmic random features naturally formed in the process of printing and pasting the anti-counterfeiting label, and comprise shape features, position deviation features and color features; the shape feature is a saw tooth feature formed during printing due to jitter of the printer; the position deviation characteristic is formed by shaking of a belt line of the anti-counterfeit label pasting equipment in the anti-counterfeit label pasting process; the color characteristics are generated by the distribution and angle change of the graphics on the anti-counterfeit label;
taking a relevant digital code corresponding to the target product as an anti-counterfeiting digital code standard, and storing the random characteristic image as an anti-counterfeiting characteristic standard so as to verify the anti-counterfeiting label according to the anti-counterfeiting characteristic standard;
acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked; comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital code standard or not; if so, comparing whether the random characteristic image to be checked is consistent with the anti-counterfeiting characteristic standard; if the two types of the color-changing materials are consistent, checking is passed, if the two types of the color-changing materials are inconsistent, checking is failed, the shape characteristic is achieved through texture checking, the position deviation characteristic is achieved through coordinate checking, and the color characteristic is achieved through color-changing checking.
2. The method of claim 1, wherein the random feature image is obtained by capturing a photograph of the security tag with a high-speed camera.
3. The method of claim 1, wherein the comparing whether the random feature image to be verified is consistent with the security feature standard if the random feature is the position offset feature comprises:
extracting feature points to be verified of the random feature images to be verified, and determining coordinates of the feature points to be verified;
extracting standard feature points of the anti-counterfeiting feature standard, and determining coordinates of the standard feature points, wherein the standard feature points correspond to the feature points to be verified;
and comparing whether the coordinates of the feature points to be checked are consistent with the coordinates of the standard feature points.
4. The label anti-counterfeiting method based on the random features is characterized in that the anti-counterfeiting label comprises related numbers and random features corresponding to a target product, random feature images corresponding to the random features are stored, and the random features are micro random features naturally formed in the printing and pasting processes of the anti-counterfeiting label and comprise shape features, position offset features and color features; the shape feature is a saw tooth feature formed during printing due to jitter of the printer; the position deviation characteristic is formed by shaking of a belt line of the anti-counterfeit label pasting equipment in the anti-counterfeit label pasting process; the color characteristics are generated by the distribution and angle change of the graphics on the anti-counterfeit label; the related digital code comprises an anti-counterfeiting code and a logistics code, and the generation process of the anti-counterfeiting label comprises the following steps: generating an anti-counterfeiting code and a logistics code by using a digital generation technology; issuing the anti-counterfeiting code and the logistics code to a server corresponding to a printing factory, printing the anti-counterfeiting code and the logistics code, and pasting the printed anti-counterfeiting code and logistics code on the target product; the method comprises the following steps:
acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked;
comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with an anti-counterfeiting digital code standard or not; if the random feature images to be checked are consistent with the anti-counterfeiting feature standards, checking the anti-counterfeiting label images according to the random feature images to be checked and the anti-counterfeiting feature standards, and comparing whether the random feature images to be checked are consistent with the anti-counterfeiting feature standards or not; if the two types of the color-changing materials are consistent, checking is passed, if the two types of the color-changing materials are inconsistent, checking is failed, the shape characteristic is realized through texture checking, the position deviation characteristic is realized through coordinate checking, and the color characteristic is realized through color-changing checking; the anti-counterfeiting digital standard is a relevant digital corresponding to the target product, the anti-counterfeiting characteristic standard is the stored random characteristic image, and the random characteristic image is acquired through an image identification technology.
5. A label anti-counterfeiting device based on random features, wherein the device comprises a forming unit, a first acquisition unit and a storage unit:
the forming unit is used for forming an anti-counterfeiting label according to the obtained relevant digital code corresponding to the target product, and the anti-counterfeiting label comprises the relevant digital code and the random characteristic; the random features are microcosmic random features naturally formed in the process of printing and pasting the anti-counterfeiting label, and comprise shape features, position deviation features and color features; the shape feature is a saw tooth feature formed during printing due to jitter of the printer; the position deviation characteristic is formed by shaking of a belt line of the anti-counterfeit label pasting equipment in the anti-counterfeit label pasting process; the color characteristics are generated by the distribution and angle change of the graphics on the anti-counterfeit label; the related digital code comprises an anti-counterfeiting code and a logistics code, and the generation process of the anti-counterfeiting label comprises the following steps: generating an anti-counterfeiting code and a logistics code by using a digital generation technology; issuing the anti-counterfeiting code and the logistics code to a server corresponding to a printing factory, printing the anti-counterfeiting code and the logistics code, and pasting the printed anti-counterfeiting code and logistics code on the target product;
the first acquisition unit is used for acquiring a random feature image corresponding to the random feature, and the random feature image is acquired through an image identification technology;
the storage unit is used for storing the random characteristic image as an anti-counterfeiting characteristic standard by taking a relevant digital code corresponding to the target product as an anti-counterfeiting digital code standard so as to check the anti-counterfeiting label according to the anti-counterfeiting characteristic standard; acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked; comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital code standard or not; if so, comparing whether the random characteristic image to be checked is consistent with the anti-counterfeiting characteristic standard; if the two types of the color-changing materials are consistent, checking is passed, if the two types of the color-changing materials are inconsistent, checking is failed, the shape characteristic is achieved through texture checking, the position deviation characteristic is achieved through coordinate checking, and the color characteristic is achieved through color-changing checking.
6. The label anti-counterfeiting device based on random features is characterized in that the anti-counterfeiting label comprises related numbers and random features corresponding to a target product, random feature images corresponding to the random features are stored in the anti-counterfeiting label, and the device comprises an acquisition unit and a verification unit: the random features are microcosmic random features naturally formed in the process of printing and pasting the anti-counterfeiting label, and comprise shape features, position deviation features and color features; the shape feature is a saw tooth feature formed during printing due to jitter of the printer; the position deviation characteristic is formed by shaking of a belt line of the anti-counterfeit label pasting equipment in the anti-counterfeit label pasting process; the color characteristics are generated by the distribution and angle change of the graphics on the anti-counterfeit label; the related digital code comprises an anti-counterfeiting code and a logistics code, and the generation process of the anti-counterfeiting label comprises the following steps: generating an anti-counterfeiting code and a logistics code by using a digital generation technology; issuing the anti-counterfeiting code and the logistics code to a server corresponding to a printing factory, printing the anti-counterfeiting code and the logistics code, and pasting the printed anti-counterfeiting code and logistics code on the target product;
the acquisition unit is used for acquiring an anti-counterfeit label image of the target product, wherein the anti-counterfeit label image comprises a random characteristic image to be checked;
the verification unit is used for comparing whether the relevant digital code in the anti-counterfeiting label image is consistent with the anti-counterfeiting digital code standard or not; if the random feature images to be checked are consistent with the anti-counterfeiting feature standards, checking the anti-counterfeiting label images according to the random feature images to be checked and the anti-counterfeiting feature standards, and comparing whether the random feature images to be checked are consistent with the anti-counterfeiting feature standards or not; if the two types of the color-changing materials are consistent, checking is passed, if the two types of the color-changing materials are inconsistent, checking is failed, the shape characteristic is realized through texture checking, the position deviation characteristic is realized through coordinate checking, and the color characteristic is realized through color-changing checking; the anti-counterfeiting digital standard is a relevant digital corresponding to the target product, the anti-counterfeiting characteristic standard is the stored random characteristic image, and the random characteristic image is acquired through an image identification technology.
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| CN111832689A (en) * | 2020-07-27 | 2020-10-27 | 沈阳海创文化印刷有限公司 | Design method of label anti-counterfeiting mark |
| CN111798740B (en) * | 2020-07-29 | 2022-11-25 | 云南易见纹语科技有限公司 | Anti-counterfeiting mark, system, generation method and anti-counterfeiting mark identification method and device |
| CN112183696A (en) * | 2020-09-12 | 2021-01-05 | 李思锐 | Anti-counterfeiting mark and method for product anti-counterfeiting |
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