CN109034328A - A kind of random anti-counterfeit marker characteristic extracts recognition methods, device and server - Google Patents

A kind of random anti-counterfeit marker characteristic extracts recognition methods, device and server Download PDF

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Publication number
CN109034328A
CN109034328A CN201710429499.1A CN201710429499A CN109034328A CN 109034328 A CN109034328 A CN 109034328A CN 201710429499 A CN201710429499 A CN 201710429499A CN 109034328 A CN109034328 A CN 109034328A
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Prior art keywords
finger url
random anti
image
counterfeit
counterfeit label
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CN201710429499.1A
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Chinese (zh)
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石立公
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Individual
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Individual
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Priority to CN201710429499.1A priority Critical patent/CN109034328A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record 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
    • G06K19/06009Record 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
    • G06K19/06037Record 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record 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
    • G06K19/06009Record 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
    • G06K19/06046Constructional details
    • G06K19/06131Constructional details the marking comprising a target pattern, e.g. for indicating the center of the bar code or for helping a bar code reader to properly orient the scanner or to retrieve the bar code inside of an image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14Methods 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
    • G06K7/1404Methods for optical code recognition
    • G06K7/1408Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/14172D bar codes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14Methods 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
    • G06K7/1404Methods for optical code recognition
    • G06K7/1439Methods for optical code recognition including a method step for retrieval of the optical code
    • G06K7/1443Methods for optical code recognition including a method step for retrieval of the optical code locating of the code in an image

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Electromagnetism (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)

Abstract

A kind of random anti-counterfeit marker characteristic extracts recognition methods, device and server;Described image feature extracting method includes following processing step: random anti-counterfeit label is divided into M row N and arranged by S51.;S52. the characteristic value for each image block that computation partition goes out.Described image feature comparison method includes following processing step: S61. obtains the image feature information of identification sample;S62. the image feature information of the standard sample of the corresponding random anti-counterfeit label of the unique identifier of storage is obtained;S63. feature difference value is found out;S64. if feature difference value is less than preset feature difference threshold value, it is believed that the two is consistent, otherwise it is assumed that the two is inconsistent.Method, apparatus proposed by the present invention and server, can automatically extract the characteristics of image of the random anti-counterfeit label with figure finger URL, and can save the characteristics of image of extraction, be identified automatically with the characteristics of image of extraction.

Description

A kind of random anti-counterfeit marker characteristic extracts recognition methods, device and server
Technical field
The present invention relates to field of anti-counterfeit technology, extract recognition methods, dress more particularly, to a kind of random anti-counterfeit marker characteristic It sets and server.
Background technique
Existing Chinese patent 201520198228.6 proposes a kind of anti-fake marking device, can make random anti-counterfeit Label.Existing Chinese patent 201520654356.7 proposes a kind of random labelling head of no rigid inner core, can cooperate with Machine anti-fake mark producing device uses, for making random anti-counterfeit label.Existing Chinese patent 2015201975795, 2015201982286、2015202001174、2015205590062、2015210834029、2015211359747、 201521137990X proposes the producing device or component of random anti-counterfeit label respectively.It is above-mentioned to be not directed to position with figure The random anti-counterfeit of symbol marks aspect.
The figure of a nested block form is respectively arranged in its upper left corner, the upper right corner, the lower left corner in very widely used today two dimensional code Shape finger URL;In software automated image analysis, software can the be convenient and reliable identification figure finger URL.
Summary of the invention
Technical problem:
In view of the defects existing in the prior art, the present invention proposes a kind of random anti-counterfeit marker characteristic with figure finger URL Extract recognition methods, device and server.
Technical solution:
To achieve the goals above, the invention proposes a kind of concentric circles ring-shaped figure finger URLs, including a center circle And at least one annulus concentric with it, extend to the outside, be adjacent, the ring width of any annulus is the center circle Radius integral multiple or integer point one.
Further, the adjacent center circle and/or the color of the annulus are different.
Further, the adjacent center circle and/or the color of the annulus are black and white alternating.
According to another aspect of the present invention, the present invention proposes a kind of random anti-counterfeit label with figure finger URL, including Random anti-counterfeit tag body, and vertex and/or midpoint and/or label positioned at random anti-counterfeit tag body region The figure finger URL of point.
Further, the figure finger URL, including the concentric circles ring-shaped figure finger URL and/or concentric boxes shape figure Shape finger URL.
Further, the figure finger URL is located at one of four angles of random anti-counterfeit tag body region Internally and/or externally,
Or simultaneously positioned at random anti-counterfeit tag body region four angles two internally and/or externally,
Or simultaneously positioned at random anti-counterfeit tag body region four angles three internally and/or externally,
Or it is located at four angles of random anti-counterfeit tag body region internally and/or externally simultaneously.
The figure finger URL can also be partially positioned at the internal or external of random anti-counterfeit tag body region; The figure finger URL can be mobile to the region exterior either direction where the random anti-counterfeit tag body;The figure is fixed Position symbol can also have pre-set interval distance with the region where the random anti-counterfeit tag body.
According to another aspect of the present invention, the present invention proposes a kind of two dimensional code with concentric circles ring-shaped figure finger URL, Including concentric circles ring-shaped figure finger URL.
It further, further include concentric boxes shape figure finger URL.
Further, the figure finger URL is located at the inside at one of four angles of two dimensional code main body region And/or it is external,
Or simultaneously positioned at two dimensional code main body region four angles two internally and/or externally,
Or simultaneously positioned at two dimensional code main body region four angles three internally and/or externally,
Or it is located at four angles of two dimensional code main body region internally and/or externally simultaneously.
The figure finger URL can also be partially positioned at the internal or external of two dimensional code main body region;The figure Shape finger URL can be mobile to the region exterior either direction where the two dimensional code main body;The figure finger URL can also be with There is pre-set interval distance in region where the two dimensional code main body.
According to another aspect of the present invention, the present invention proposes a kind of concentric circles ring-shaped figure finger URL recognition positioning method, Including following processing step:
S1. image is traversed line by line, finds the doubtful pixel group of all rows: in same a line, adjacent same colour Plain ratio of number meets the pixel group of the ratio between each annular width of concentric circles ring-shaped figure finger URL, finds pixel group center pixel and exists The position (being denoted as La) of pixel group center pixel in the picture is added in set A by the position in image;
S2. image is traversed by column, finds all doubtful pixel groups of column: in same row, adjacent same colour Plain ratio of number meets the pixel group of the ratio between each annular width of concentric circles ring-shaped figure finger URL, finds pixel group center pixel and exists The position (being denoted as Lb) of pixel group center pixel in the picture is added in set B by the position in image;
S3. it looks for the central point of concentric circles ring-shaped figure finger URL: in two set A, B, finding out and be located at two collection Element of the distance between two elements in conjunction less than given threshold A is to (being denoted as (La, Lb)), it is believed that the element is to line Central point is the central point of concentric circles ring-shaped figure finger URL.
Further, it also comprises the processing steps of:
S4. merge the central point of neighbour's concentric circles ring-shaped figure finger URL: calculate all central points for finding of S3 it Between distance, combined distance less than preset threshold B two central points be a central point, merging method be with two central points Between line central point be new central point;
S5. the central point for merging concentric circles ring-shaped figure finger URL again, until once traversing none combinable item: S4 is repeated, until there is no distance to be less than two central points of preset threshold B;Think, at this point, all each centers found The corresponding concentric circles ring-shaped figure finger URL of point.
Further, further include following steps:
Step S1 further include: the quantity that S1B. records the pixel in the corresponding doubtful pixel group of row of La is concentric circles circular chart The width of shape finger URL, is denoted as Ha;
Step S2 further include: the quantity that S2B. records the pixel in the corresponding doubtful pixel group of column of Lb is concentric circles circular chart The height of shape finger URL, is denoted as Hb;
S6. it calculates the tilt angle of concentric circles ring-shaped figure finger URL: if Ha > Hb, calculating Xa=Hb/Ha, Ya= Arccos (Xa), concentric circles ring-shaped figure finger URL tilt in the horizontal direction, tilt angle Ya;If Ha < Hb, Xb is calculated =Ha/Hb, Yb=arccos (Xb), concentric circles ring-shaped figure finger URL is in inclined vertically, tilt angle Ya;
S7. using the tilt angle of any concentric circles ring-shaped figure finger URL as the tilt angle of medium.
Further, step S6 is also comprised the processing steps of:
S6A. the doubtful pixel group of the central point by concentric circles ring-shaped figure finger URL is found, between each doubtful pixel group Angle preset, using the method for step S6, calculate the inclination angle of each doubtful pixel group position;
S6B. the maximum value for finding inclination angle, using the value as the tilt angle of concentric circles ring-shaped figure finger URL;Its is right Direction where the meaning pixel group answered is maximum inclination direction.
According to another aspect of the present invention, the present invention proposes a kind of with circular concentric figure finger URL and/or square with one heart The random anti-counterfeit of blocki diagram shape finger URL marks or the recognition positioning method of two dimensional code, runs on the computer systems, including Following processing step:
S21. all circular concentric figure finger URLs and/or concentric boxes shape figure finger URL in image are found out;
S22. the position, big of random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL is determined It is small: according to relative position of the pre-set figure finger URL in the random anti-counterfeit label with figure finger URL or two dimensional code And relative size, the position of determining random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL, Size.
According to another aspect of the present invention, the present invention proposes a kind of concentric circles ring-shaped figure finger URL or with concentric loop The identification positioning device of the two dimensional code of shape figure finger URL or the random anti-counterfeit label with concentric circles ring-shaped figure finger URL, packet It includes: identification controller, identification camera;The identification controller is computer control;The identification controller and the knowledge Other camera is cooperatively connected, is equipped with;
The identification controller by the identification camera obtain include the concentric circles ring-shaped figure finger URL and/or The image of the concentric boxes shape figure finger URL;
The identification controller can recognize that the concentric loop finger URL and/or concentric boxes shape figure positioning The position of symbol and/or size and/or tilt angle and/or multiple concentric loop finger URLs and/or the concentric boxes shape The distance between figure finger URL;
It can recognize that the two dimensional code with concentric circles ring-shaped figure finger URL and/or positioned with concentric circles ring-shaped figure The position of the random anti-counterfeit label of symbol and/or size and/or tilt angle;
The data of the two dimensional code record with concentric circles ring-shaped figure finger URL can be distinguished;
The position and/or size and/or incline that the random anti-counterfeit with concentric circles ring-shaped figure finger URL marks can be extracted Rake angle information.
Further, the identification controller is portable computer device.
According to another aspect of the present invention, the present invention proposes a kind of with circular concentric figure finger URL and/or square with one heart The random anti-counterfeit of blocki diagram shape finger URL marks or the method for sampling of two dimensional code, runs on the computer systems, including as follows Processing step:
S31. the position, big of random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL is determined It is small: according to relative position of the pre-set figure finger URL in the random anti-counterfeit label with figure finger URL or two dimensional code And relative size, the position of determining random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL, Size;
S32. the image that random anti-counterfeit label or two dimensional code with figure finger URL are taken out from image, according to what is determined Position, the size of random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL;
S33. it records the image information of taking-up and the relative random anti-counterfeit with figure finger URL marks or two dimension The information of code, including unique identifier.
Further, further include following step:
S34. the image of taking-up is saved as individual image file;
S35. raw image files are recorded;
S36. Item Information relevant to the random anti-counterfeit label or two dimensional code that have figure finger URL is recorded;
S37. the information recorded is stored in server end and/or distributed storage in server end, to obtain higher number According to safety, faster system response speed;
S38. the data of two dimensional code storage are identified, and store the data.
According to another aspect of the present invention, the present invention propose a kind of two dimensional code with concentric circles ring-shaped figure finger URL or The sampling apparatus of random anti-counterfeit label with concentric circles ring-shaped figure finger URL, comprising: sampling controller, sampling camera; The sampling controller is computer control;The identification controller is cooperatively connected with the sampling camera, is equipped with;
A kind of random anti-counterfeit with circular concentric figure finger URL and/or concentric boxes shape figure finger URL is run thereon The method of sampling of label or two dimensional code;
The sampling controller by the sampling camera obtain include the concentric circles ring-shaped figure finger URL and/or The image of the concentric boxes shape figure finger URL;
The sampling controller can recognize that the concentric loop finger URL and/or concentric boxes shape figure positioning The position of symbol and/or size and/or tilt angle and/or multiple concentric loop finger URLs and/or the concentric boxes shape The distance between figure finger URL;
It can recognize that the two dimensional code with concentric circles ring-shaped figure finger URL and/or positioned with concentric circles ring-shaped figure The position of the random anti-counterfeit label of symbol and/or size and/or tilt angle;
The data of the two dimensional code record with concentric circles ring-shaped figure finger URL can be distinguished;
The image information of the random anti-counterfeit label with concentric circles ring-shaped figure finger URL can be extracted;
It is able to record position and/or size and/or tilt angle of the image in original image.
Further, the sampling controller is portable computer device.
Further, the information of acquisition can be transferred to sampling server by the sampling apparatus.
Further, the sampling apparatus can check the data of sampling server end storage.
According to another aspect of the present invention, the present invention propose a kind of two dimensional code with concentric circles ring-shaped figure finger URL or The sampling server of random anti-counterfeit label with concentric circles ring-shaped figure finger URL, the sampling server is Computer Service Device;
The sampling server can receive a kind of two dimensional code with concentric circles ring-shaped figure finger URL or have The sample information of the sampling apparatus transmission of the random anti-counterfeit label of concentric circles ring-shaped figure finger URL.
Further, the sampling server includes distributed computing system.
Further, the sampling server supports client to examine, check sampled data.
According to another aspect of the present invention, the present invention proposes a kind of identification of random anti-counterfeit label with figure finger URL Method is run on the computer systems, including following processing step:
S41. random anti-counterfeit label and its relevant information with figure finger URL are obtained;
S42. random anti-counterfeit label and its relevant information of the display with figure finger URL.
Further, further include following processing steps: S43. carries out information retrieval according to unique identifier;
S44. unique identifier is obtained by reading two dimensional code.
According to another aspect of the present invention, the present invention proposes a kind of identification of random anti-counterfeit label with figure finger URL Device, comprising: identification controller, identification camera;The identification controller is computer control;The identification controller with The identification camera is cooperatively connected, is equipped with;
A kind of identification method of random anti-counterfeit label with figure finger URL is run thereon.
Further, described to identify that controller is portable computer device.
According to another aspect of the present invention, the present invention proposes a kind of identification of random anti-counterfeit label with figure finger URL Server, including authentication server;The authentication server is computer server;
The authentication server can receive the unique identifier that the random anti-counterfeit with figure finger URL marks, and The corresponding information of the unique identifier is sent.
Further, authentication server includes distributed computing system.
According to another aspect of the present invention, the present invention proposes a kind of image of random anti-counterfeit label with figure finger URL Feature extracting method is run on the computer systems, including following processing step:
S51. random anti-counterfeit label is divided into M row N column;
S52. the characteristic value for each image block that computation partition goes out;Using the characteristic value of all image blocks as the random anti-counterfeit The image feature information of label;Calculation method includes at least one of following methods: method of characteristic point, mean value method.
Further, it also comprises the processing steps of:
S53. the sum of every a line, the characteristic value of each column of acquisition, the characteristic value as corresponding row, column are calculated;With all The image feature information that the characteristic value of capable characteristic value, all column is marked as the random anti-counterfeit;
S54. the image feature information of the random anti-counterfeit label of acquisition is recorded, while the corresponding record random anti-counterfeit marks Corresponding unique identifier.
According to another aspect of the present invention, the present invention proposes a kind of image of random anti-counterfeit label with figure finger URL Feature comparison method is run on the computer systems, including following processing step:
S61. the image feature information of identification sample is obtained;With a kind of random anti-counterfeit label with figure finger URL Image characteristic extracting method obtain;
S62. the image feature information of the standard sample of the corresponding random anti-counterfeit label of the unique identifier of storage is obtained, Identify the corresponding unique identifier of sample as foundation using this;
S63. feature difference value: the image feature information of standard sample and the image feature information of identification sample is found out, often A corresponding characteristic value subtracts each other the sum of absolute value of the difference of acquisition, is the feature difference value of two image feature informations;
S64. judge comparison result: if feature difference value is less than preset feature difference threshold value, it is believed that the two one It causes, otherwise it is assumed that the two is inconsistent.
Further, it also comprises the processing steps of:
S65. the image feature information of record identification sample;
S66. comparison result is recorded.
According to another aspect of the present invention, the present invention proposes a kind of image of random anti-counterfeit label with figure finger URL Feature deriving means, comprising: feature extraction controller, feature extraction camera;The feature extraction controller is computer control Device processed;The feature extraction controller is cooperatively connected with the feature extraction camera, is equipped with;
A kind of image characteristic extracting method of random anti-counterfeit label with figure finger URL is run thereon.
Further, the feature extraction controller is portable computer device.
According to another aspect of the present invention, the present invention proposes a kind of image of random anti-counterfeit label with figure finger URL Characteristic Contrast device, comprising: Characteristic Contrast controller, Characteristic Contrast camera;The Characteristic Contrast controller is computer control Device processed;The Characteristic Contrast controller is cooperatively connected with the Characteristic Contrast camera, is equipped with;
A kind of characteristics of image control methods of random anti-counterfeit label with figure finger URL is run thereon.
Further, the Characteristic Contrast controller is portable computer device.
According to another aspect of the present invention, the present invention proposes a kind of image of random anti-counterfeit label with figure finger URL Characteristic Contrast server, including comparison server;The comparison server is computer server;
The comparison server can receive and/or store the standard that the random anti-counterfeit with figure finger URL marks Sample and/or the image feature information for identifying sample;
The comparison server, can be according to the unique identifier for the random anti-counterfeit label that request carries, the unique identification The standard sample of the corresponding random anti-counterfeit label of code and/or the image feature information of identification sample are sent.
Further, the comparison server includes distributed computing system.
Technical effect:
A kind of concentric circles ring-shaped figure finger URL proposed by the present invention, can positioning pattern, can manually distinguish, Neng Gouji Calculation machine image recognition automatically identifying and reading;
A kind of article with concentric circles ring-shaped figure finger URL proposed by the present invention, can be by described in disposed thereon Concentric circles ring-shaped figure finger URL determines position and/or the size in region that some is associated;
A kind of random anti-counterfeit label with figure finger URL proposed by the present invention, can manually distinguish, being capable of computer Image recognition automatically identifying and reading;
A kind of two dimensional code with concentric circles ring-shaped figure finger URL proposed by the present invention, can manually distinguish, Neng Gouji Calculation machine image recognition automatically identifying and reading, figure are beautiful, novel;
A kind of concentric circles ring-shaped figure finger URL recognition positioning method proposed by the present invention, can Computer Automatic Recognition go out The position of concentric circles ring-shaped figure finger URL in image, size, tilt angle;
A kind of identification of random anti-counterfeit label or two dimensional code with circular concentric figure finger URL proposed by the present invention is fixed Position method, can allow Computer Automatic Recognition to go out, random anti-counterfeit label or two dimensional code with circular concentric figure finger URL, Position, region in image, size;
A kind of identification of random anti-counterfeit label or two dimensional code with concentric boxes shape figure finger URL proposed by the present invention Localization method can allow Computer Automatic Recognition to go out, random anti-counterfeit label or two dimension with concentric boxes shape figure finger URL Code, position in the picture, region, size;
The present invention proposes that a kind of concentric circles ring-shaped figure finger URL identifies positioning device, positions with concentric circles ring-shaped figure The two dimensional code of symbol identifies positioning device, the random anti-counterfeit marker recognition positioning device with concentric circles ring-shaped figure finger URL, energy Enough images obtained comprising the concentric circles ring-shaped figure finger URL and/or the concentric boxes shape figure finger URL;
Can recognize that the concentric loop finger URL and/or the concentric boxes shape figure finger URL position and/or Between size and/or tilt angle and/or multiple concentric loop finger URLs and/or the concentric boxes shape figure finger URL Distance;
It can recognize that the two dimensional code with concentric circles ring-shaped figure finger URL and/or positioned with concentric circles ring-shaped figure The position of the random anti-counterfeit label of symbol and/or size and/or tilt angle;
The data of the two dimensional code record with concentric circles ring-shaped figure finger URL can be distinguished;
The characteristic information of the random anti-counterfeit label with concentric circles ring-shaped figure finger URL can be extracted.
A kind of random anti-counterfeit label method of sampling, device and server proposed by the present invention, can be according to figure finger URL It determines the position of random anti-counterfeit label, random anti-counterfeit can be marked and be taken out from image, and be deposited into Local or Remote service In device.
Identification method, device and the server of a kind of random anti-counterfeit label with figure finger URL proposed by the present invention, It is capable of the identification of assist operators' progress random anti-counterfeit label.
A kind of random anti-counterfeit marker characteristic with figure finger URL proposed by the present invention extracts recognition methods, device kimonos Business device, can automatically extract the characteristics of image of the random anti-counterfeit label with figure finger URL, and can save the image of extraction Feature is identified automatically with the characteristics of image of extraction.
Detailed description of the invention
Fig. 1 is a kind of a kind of structural representation Fig. 1 of concentric circles ring-shaped figure finger URL of embodiment of the invention:
1. center circle, 2. annulus one, 3. annulus two.
Fig. 2 is a kind of structural representation Fig. 2 of concentric circles ring-shaped figure finger URL of another embodiment of the invention:
1. center circle, 2. annulus one, 3. annulus two, 4. annulus three.
Fig. 3 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 1:
21. random anti-counterfeit tag body, 22. concentric circles ring-shaped figure finger URLs one, 23. concentric circles ring-shaped figure finger URLs Two, 24. concentric circles ring-shaped figure finger URLs three, 29. random anti-counterfeit mark points.
Fig. 4 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 2:
21. random anti-counterfeit tag body, 22. concentric circles ring-shaped figure finger URLs one, 23. concentric circles ring-shaped figure finger URLs Two, 25. concentric boxes shape figure finger URLs, 29. random anti-counterfeit mark points.
Fig. 5 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 3:
21. random anti-counterfeit tag body, 22. concentric circles ring-shaped figure finger URLs one, 23. concentric circles ring-shaped figure finger URLs Two, 25. concentric boxes shape figure finger URLs, 26. concentric circles ring-shaped figure finger URLs four, 29. random anti-counterfeit mark points.
Fig. 6 is a kind of structure of two dimensional code with concentric circles ring-shaped figure finger URL of another embodiment of the invention Schematic diagram:
41. two dimensional code main body, 22. concentric circles ring-shaped figure finger URLs one, 23. concentric circles ring-shaped figure finger URLs two, 25. Concentric boxes shape figure finger URL.
Fig. 7 is a kind of processing of concentric circles ring-shaped figure finger URL recognition positioning method of another embodiment of the invention Flow diagram.
Fig. 8 is a kind of concentric circles ring-shaped figure finger URL recognition positioning method of embodiment shown in Fig. 7 of the invention The processing flow schematic diagram of optional processing step one.
Fig. 9 is a kind of concentric circles ring-shaped figure finger URL recognition positioning method of embodiment shown in Fig. 7 of the invention The processing flow schematic diagram of optional processing step two.
Figure 10 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the processing flow schematic diagram of the recognition positioning method of two dimensional code.
Figure 11 is a kind of concentric circles ring-shaped figure finger URL or annular with concentric circles of another embodiment of the invention The knot of the identification positioning device of the two dimensional code of figure finger URL or the random anti-counterfeit label with concentric circles ring-shaped figure finger URL Structure schematic diagram:
61. identification controller, 62. identification cameras.
Figure 12 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the processing flow schematic diagram of the method for sampling of two dimensional code.
Figure 13 is one kind of embodiment illustrated in fig. 11 of the invention with circular concentric figure finger URL and/or concentric boxes The random anti-counterfeit of shape figure finger URL marks or the optional processing flow schematic diagram of the method for sampling of two dimensional code.
Figure 14 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the structural schematic diagram of the sampling apparatus of two dimensional code:
71. sampling controller, 72. sampling cameras.
Figure 15 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the structural schematic diagram of the sampling server of two dimensional code:
81. sampling server.
Figure 16 is a kind of identification side of random anti-counterfeit label with figure finger URL of another embodiment of the invention The processing flow schematic diagram of method.
Figure 17 is the identification method of the random anti-counterfeit label with figure finger URL of embodiment illustrated in fig. 16 of the invention Optional processing flow schematic diagram.
Figure 18 is a kind of identification dress of random anti-counterfeit label with figure finger URL of another embodiment of the invention The structural schematic diagram set:
91. identifying controller, 92. identification cameras.
Figure 19 is a kind of identification clothes of random anti-counterfeit label with figure finger URL of another embodiment of the invention The structural schematic diagram of business device:
96. authentication server.
Figure 20 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special Levy the processing flow schematic diagram of extracting method.
Figure 21 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special Levy the processing flow schematic diagram of control methods.
Figure 22 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special Levy the structural schematic diagram of extraction element:
101. feature extraction controller, 102. feature extraction cameras.
Figure 23 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The structural schematic diagram of sign comparison device:
111. Characteristic Contrast controller, 112. Characteristic Contrast cameras.
Figure 24 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The structural schematic diagram of sign comparison server:
121. comparing server.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to accompanying drawings and embodiments Carry out the embodiment that the present invention will be described in detail, whereby to how the invention applies technical means to solve technical problems, and reaches The realization process of technical effect can be fully understood and implemented.
As long as each in each embodiment and each embodiment in the present invention it should be noted that do not constitute conflict Feature can be combined with each other, and it is within the scope of the present invention to be formed by technical solution.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Embodiment one
Fig. 1 is structural representation Fig. 1, such as Fig. 1 of a kind of a kind of concentric circles ring-shaped figure finger URL of embodiment of the invention It is shown, including center circle 1, annulus 1, annulus 23.
The center of circle overlapping of center circle 1, annulus 1, annulus 23, radius successively expand;
The width of annulus 1 is 2 times of 1 radius of center circle, and the width of annulus 23 is 1 times of 1 radius of center circle.It is any The ring width of the annulus, be the radius of the center circle integral multiple or integer point one;It is successively adjacent when multiple annulus;It is excellent Choosing, 2 times, 1 times of 1 radius of circle replace from internal layer outer layers centered on the width of annulus.
Two adjacent center circles 1 and/or the color of annulus are different;When having multiple center circles 1 and annulus, each Center circle 1 or the color of annulus are all different.
Optionally, the two neighboring center circle and/or the color of annulus are black and white alternating;Preferably, it is used alternatingly black Bai Erse.
As shown in Figure 1, by the center of circle of center circle, being arrived from outer layer black annulus comprising 2 layers of annulus, a center circle Up to the line segment of the other side of outer layer black annulus, the color passed through is successively: it is black, white, black, white, black, and each section of colored pixels Several ratios is 1:2:2:2:1.
It should be noted that the color of outermost annulus, can distinguish just, preferably black with background color.
Embodiment two
Fig. 2 is a kind of structural representation Fig. 2 of concentric circles ring-shaped figure finger URL of another embodiment of the invention, is such as schemed Shown in 2, including center circle 1, annulus 1, annulus 23, annulus 34.
Embodiment two and the difference of embodiment one are that the center circle 1 of embodiment two is black, embodiment Two, have 3 annulus outside the center circle 1 of embodiment two, annulus 1, annulus 23 it is of different size.
As shown in Fig. 2, by the center of circle of center circle, being arrived from outer layer black annulus comprising 3 layers of annulus, a center circle Up to the line segment of the other side of outer layer black annulus, the color passed through is successively: it is black, white, black, white, black, white, black, and each section of face The ratio of colour prime number is 1:2:1:2:1:2:1.
Embodiment three
Fig. 3 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 1, as shown in figure 3, including random anti-counterfeit tag body 21, concentric circles ring-shaped figure finger URL 1, concentric circles ring-shaped figure Finger URL 2 23, concentric circles ring-shaped figure finger URL 3 24, random anti-counterfeit mark point 29.
It is divided into random anti-counterfeit tag body 21 in Fig. 3, inside dotted line frame.
In random anti-counterfeit tag body 21, one group of random anti-counterfeit mark point 29 of random distribution;The random anti-counterfeit mark point 29 quantity, position, size are randomness.It should be noted that random anti-counterfeit mark point 29 is located at random anti-counterfeit label master In 21 range of body;It is general not Chong Die with figure finger URL, it is preferably not Chong Die with figure finger URL.
In the vertex of 21 region of random anti-counterfeit tag body and/or sideline midpoint and/or specific markers point setting figure Shape finger URL;The figure finger URL, including the concentric circles ring-shaped figure finger URL and/or the positioning of concentric boxes shape figure Symbol;The concentric circles ring-shaped figure finger URL is concentric circles ring-shaped figure finger URL of the present invention;The concentric boxes shape Figure finger URL is figure finger URL used in two dimensional code in the prior art;The specific markers point, in random anti-counterfeit mark Remember that 21 region of main body is inside and outside to preset;
The figure finger URL be located at one of four angles of 21 region of random anti-counterfeit tag body inside and/ Or it is external;Alternatively, simultaneously positioned at two inside at four angles of 21 region of random anti-counterfeit tag body and/or outer Portion, alternatively, simultaneously positioned at 21 region of random anti-counterfeit tag body four angles three internally and/or externally, or Person, while being located at four angles of 21 region of random anti-counterfeit tag body internally and/or externally;
Concentric circles ring-shaped figure finger URL 1 shown in Fig. 3 is located in one jiao of 21 region of random anti-counterfeit tag body The both sides at the angle are close at portion, edge;When figure finger URL is concentric boxes shape figure finger URL, concentric circles circular chart is replaced Shape finger URL 1.
When figure finger URL is located at the outside at 21 some angle of region of random anti-counterfeit tag body, with random anti-counterfeit mark The relative position of note 21 region of main body is preset, it is preferred that close to 21 region of random anti-counterfeit tag body, on one side (concentric circles ring-shaped figure finger URL 1 is lifted up the location of oneself height) is aligned with regional edge edge.
It should be noted that figure finger URL can also partially be located at 21 region of random anti-counterfeit tag body inside or It is external;Figure finger URL can be mobile to either direction outside 21 region of random anti-counterfeit tag body;Figure finger URL is also There can be pre-set interval distance with 21 region of random anti-counterfeit tag body.
Embodiment four
Fig. 4 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 2, as shown in figure 4, including random anti-counterfeit tag body 21, concentric circles ring-shaped figure finger URL 1, concentric circles ring-shaped figure Finger URL 2 23, concentric boxes shape figure finger URL 25, random anti-counterfeit mark point 29.
Embodiment four and the difference of embodiment three are that the figure finger URL in the lower left corner is fixed for concentric boxes shape figure Position symbol 25.It should be noted that any one figure finger URL, can be concentric boxes shape figure finger URL 25 or concentric circles Ring-shaped figure finger URL or other figure finger URLs.
Embodiment five
Fig. 5 is a kind of structural representation of random anti-counterfeit label with figure finger URL of another embodiment of the invention Fig. 3, as shown in figure 5, including random anti-counterfeit tag body 21, concentric circles ring-shaped figure finger URL 1, concentric circles ring-shaped figure Finger URL 2 23, concentric boxes shape figure finger URL 25, concentric circles ring-shaped figure finger URL 4 26, random anti-counterfeit mark point 29.
Embodiment five and the difference of embodiment four be, more one of the lower right corner of random anti-counterfeit tag body 21 is same Heart circular ring shape figure finger URL.
Embodiment six
Fig. 6 is a kind of structure of two dimensional code with concentric circles ring-shaped figure finger URL of another embodiment of the invention Schematic diagram, as shown in fig. 6, including two dimensional code main body 41, concentric circles ring-shaped figure finger URL 1, the positioning of concentric circles ring-shaped figure Accord with 2 23, concentric boxes shape figure finger URL 25.
Two dimensional code as shown in FIG. 6 is with the difference of two dimensional code in the prior art, is located at the two dimensional code upper left corner, the right side The figure finger URL at upper angle is concentric circles ring-shaped figure finger URL 1.
It should be noted that two dimensional code described in the present embodiment, any figure finger URL used, can replace For concentric circles ring-shaped figure finger URL.
It is needing to illustrate in addition, the figure finger URL can also be located at two dimensional code main body 41 internally and/or externally, it is excellent That selects is internally positioned.
When figure finger URL is located at the outside at 41 some angle of region of two dimensional code main body, where two dimensional code main body 41 The relative position in region is preset, it is preferred that (same along being aligned with regional edge on one side close to 41 region of two dimensional code main body Heart circular ring shape figure finger URL 1 is lifted up the location of oneself height).
It should be noted that figure finger URL can also partially be located inside 41 region of two dimensional code main body;Figure is fixed Position symbol can be mobile to either direction outside 41 region of two dimensional code main body;Figure finger URL can also be with two dimensional code main body 41 There is pre-set interval distance in region.
It should be noted that except the figure finger URL that existing two dimensional code possesses, additionally it is possible at least one figure be arranged Shape finger URL, the figure finger URL more being arranged are located at 41 internal preset position of two dimensional code main body;Preferably, more settings one are concentric Circular ring shape figure finger URL 1 is located at 41 center of two dimensional code main body.
Embodiment seven
Fig. 7 is a kind of processing of concentric circles ring-shaped figure finger URL recognition positioning method of another embodiment of the invention Flow diagram, the method operate on the computer system comprising this method, as shown in fig. 7, comprises following processing walk It is rapid:
S1. image is traversed line by line, finds the doubtful pixel group of all rows: in same a line, adjacent same colour Plain ratio of number meets the pixel group of the ratio between each annular width of concentric circles ring-shaped figure finger URL, it is believed that and it is capable doubtful pixel group, The position of the doubtful pixel group center pixel of row in the picture is found, by the position of the doubtful pixel group of row and its center pixel in the picture It sets and (is denoted as La) and be added in set A;
S2. image is traversed by column, finds all doubtful pixel groups of column: in same row, adjacent same colour Plain ratio of number meets the pixel group of the ratio between each annular width of concentric circles ring-shaped figure finger URL, it is believed that and it is the doubtful pixel group of column, It finds and arranges the position of doubtful pixel group center pixel in the picture, the position of doubtful pixel group and its center pixel in the picture will be arranged It sets and (is denoted as Lb) and be added in set B;
S3. it looks for the central point of concentric circles ring-shaped figure finger URL: in two set A, B, finding out and be located at two collection Element of the distance between the center pixel of two elements in conjunction less than given threshold A is to (being denoted as (La, Lb)), it is believed that this yuan The central point of the center pixel line of element pair is the central point of concentric circles ring-shaped figure finger URL.
Optionally, before carrying out step S1, image is pre-processed, it is preferred that it is described pretreatment include greyscale transformation ( Color image is transformed to gray level image), it is processed on gray level image, is conducive to speed up processing;Preferably, in greyscale transformation Afterwards, further, black and white conversion process is done, black and white transformation herein selects a numerical value as black in the middle part of pixel value range The cut off value of white pixel (cut off value is divided into one of black or white);Preferably, the middle part is in pixel value interval Heart point respectively extends 30% no more than pixel value range, preferably 10% to two sides.
In concentric circles ring-shaped figure finger URL as shown in Figure 1, when comprising 2 layers of annulus, a center circle, from outer layer dark circles Ring rises, and by the center of circle of center circle, reaches the line segment of the other side of outer layer black annulus, the color passed through is successively: black, It is white, black, white, black, and the ratio of each section of colored pixels number is 1:2:2:2:1;
In concentric circles ring-shaped figure finger URL as shown in Fig. 2, when comprising 3 layers of annulus, a center circle, from outer layer dark circles Ring rises, and by the center of circle of center circle, reaches the line segment of the other side of outer layer black annulus, the color passed through is successively: black, It is white, black, white, black, white, black, and the ratio of each section of colored pixels number is 1:2:1:2:1:2:1.
It is illustrated below with concentric circles ring-shaped figure finger URL shown in FIG. 1, processing method shown in Fig. 2 and Fig. 1 class Seemingly.
In step sl, image is traversed line by line, finds the doubtful pixel group of all rows:
In same a line, from left right (or from right-to-left) traversal, after finding first black picture element, continuous black is calculated The quantity X1 of pixel;
Continue quantity X2, Y1=X2 the ÷ X1 for calculating continuous white pixel backward, if the absolute value that Y1 subtracts 2 is less than setting Threshold value three, it is believed that find the stem of the doubtful pixel group of row;
Quantity X3, Y2=X3 the ÷ X2 of continuous black picture element is calculated backward, if the absolute value that Y2 subtracts 1 is less than given threshold Three, it is believed that the stem for finding the doubtful pixel group of row plays first three section;
Quantity X4, Y3=X4 the ÷ X3 of continuous white pixel is calculated backward, if the absolute value that Y3 subtracts 1 is less than given threshold Three, it is believed that the stem for finding the doubtful pixel group of row plays first four sections;
Quantity X5, Y4=X5 the ÷ X4 of continuous black picture element is calculated backward, if the absolute value that Y4 subtracts 0.5 is less than setting threshold Value three, it is believed that find the doubtful pixel group of row.
The threshold value three, value is preset, less than 0.2, preferably 0.08;In corresponding two annulus or center circle Width (or diameter) ratio difference when, threshold value three can also be set as different values.
After finding the doubtful pixel group of row, the position of the doubtful pixel group head and the tail pixel of record row, center pixel position (with Row, column coordinate representation in image).
Step S2 looks for the processing for arranging doubtful pixel group, looks for the processing method of the doubtful pixel group of row consistent with S1, and difference is, It traverses by column, each column traverses from up to down (or bottom-up).
In step S3, all elements traversed in set A calculate the doubtful pixel group of the row to the either element in set A Center pixel, (position of center pixel is in image for the distance of the center pixels of all doubtful pixel groups of column in distance set B Interior row, column coordinate representation is calculated with Calculation Plane distance between two points formula);
If the distance is less than given threshold A, it is believed that the position where the doubtful pixel group of the row, the doubtful pixel group of column is Concentric circles ring-shaped figure finger URL;The threshold value A is less than or equal to the 30% of the pixel quantity of the doubtful pixel group of row, preferably less than 10%;
The doubtful pixel group of the row, the central point that the midpoint for arranging doubtful pixel group line is concentric circles ring-shaped figure finger URL.
Optionally, as shown in figure 8, further including following processing step, it is preferred that including following processing step:
S4. merge the central point of neighbour's concentric circles ring-shaped figure finger URL: calculate all central points for finding of S3 it Between distance, combined distance less than preset threshold B two central points be a central point, merging method be with two central points Between line central point be new central point;
S5. the central point for merging concentric circles ring-shaped figure finger URL again, until once traversing none combinable item: S4 is repeated, until there is no distance to be less than two central points of preset threshold B;Think, at this point, all each centers found The corresponding concentric circles ring-shaped figure finger URL of point.
In step S4, the row that the threshold value B value is less than or equal in related two concentric circles ring-shaped figure finger URLs is doubted Like the 30% of the pixel quantity maximum value (or minimum value) of pixel group, preferably less than 10%.
Embodiment eight
Fig. 9 is a kind of concentric circles ring-shaped figure finger URL recognition positioning method of embodiment shown in Fig. 8 of the invention The processing flow schematic diagram of optional processing step two preferably includes following processing as shown in figure 9, including following processing steps Step:
Step S1 further include: the quantity that S1B. records the pixel in the corresponding doubtful pixel group of row of La is concentric circles circular chart The width of shape finger URL, is denoted as Ha;
Step S2 further include: the quantity that S2B. records the pixel in the corresponding doubtful pixel group of column of Lb is concentric circles circular chart The height of shape finger URL, is denoted as Hb;
S6. it calculates the tilt angle of concentric circles ring-shaped figure finger URL: if Ha >=Hb, calculating Xa=Hb/Ha, Ya= Arccos (Xa), concentric circles ring-shaped figure finger URL tilt in the horizontal direction, tilt angle Ya;If Ha < Hb, Xb is calculated =Ha/Hb, Yb=arccos (Xb), concentric circles ring-shaped figure finger URL is in inclined vertically, tilt angle Ya;
S7. using the tilt angle of any concentric circles ring-shaped figure finger URL as the tilt angle of medium.
Further, step S6 is replaced by following processing step:
S6A. all by concentric circles ring-shaped figure finger URL central point, each doubtful picture of interval set angle is found out The length of element group, in conjunction at the length of the doubtful pixel group of 90 degree of angles, calculating each doubtful pixel group position therewith Inclination angle;
S6B. the maximum value for finding inclination angle, using the value as the tilt angle of concentric circles ring-shaped figure finger URL;Its is right Direction where the doubtful pixel group answered is maximum inclination direction.
It should be noted that the angle between each doubtful pixel group can be divided exactly by 90 degree in step S6A;Preferably, each to doubt It is 10 degree like the angle between pixel group.
Embodiment nine
Figure 10 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the processing flow schematic diagram of the recognition positioning method of two dimensional code, operates in computer In system, as shown in Figure 10, including following processing steps:
S21. all circular concentric figure finger URLs and/or concentric boxes shape figure finger URL in image are found out;
S22. the position, big of random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL is determined It is small: according to relative position of the pre-set figure finger URL in the random anti-counterfeit label with figure finger URL or two dimensional code And relative size, the position of determining random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL, Size.
In step S21, the method for finding out all circular concentric figure finger URLs in image is method of the present invention;
All concentric boxes shape figure finger URLs in image are found out, are the prior arts.
In step S22, according to pre-set figure finger URL in the random anti-counterfeit label with figure finger URL Quantity, position, relative altitude, relative width determine position, the height, width of the random anti-counterfeit label with figure finger URL;
It should be understood that the figure finger URL includes circular concentric figure finger URL and/or concentric boxes shape figure Finger URL also can be other figure finger URLs.
Two dimensional code with figure finger URL is as the processing method that the random anti-counterfeit with figure finger URL marks.
Embodiment ten
Figure 11 is a kind of knot of concentric circles ring-shaped figure finger URL identification positioning device of another embodiment of the invention Structure schematic diagram runs a kind of concentric circles ring-shaped figure finger URL recognition methods, as shown in figure 11 thereon, comprising: identification control Device 61 processed, identification camera 62.
The identification controller 61 is computer control;The identification controller 61 cooperates with the identification camera 62 It connects, be equipped with;
It includes the concentric circles ring-shaped figure finger URL that the identification controller 61 is obtained by the identification camera 62 And/or the image of the concentric boxes shape figure finger URL;
The identification controller 61 can recognize that the concentric loop finger URL and/or the concentric boxes shape figure are fixed The position of position symbol and/or size and/or tilt angle and/or multiple concentric loop finger URLs and/or the concentric boxes The distance between shape figure finger URL;
The identification controller 61 can recognize that two dimensional code with concentric circles ring-shaped figure finger URL and/or with same The position of the random anti-counterfeit label of heart circular ring shape figure finger URL and/or size and/or tilt angle;
The identification controller 61 can distinguish the data of the record of the two dimensional code with concentric circles ring-shaped figure finger URL;
The identification controller 61 can extract the position of the label of the random anti-counterfeit with concentric circles ring-shaped figure finger URL And/or size and/or tilt angle information.
Further, the identification controller is portable computer device.
It should be noted that the two dimensional code with concentric circles ring-shaped figure finger URL identifies positioning device, has concentric circles The random anti-counterfeit marker recognition positioning device of ring-shaped figure finger URL and a kind of concentric circles ring-shaped figure finger URL identification are fixed Position device is similar, is all computer system, runs corresponding processing method thereon.
Embodiment 11
Figure 12 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the processing flow schematic diagram of the method for sampling of two dimensional code, operates in computer system On, as shown in figure 12, including following processing steps:
S31. the position, big of random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL is determined It is small: according to relative position of the pre-set figure finger URL in the random anti-counterfeit label with figure finger URL or two dimensional code And relative size, the position of determining random anti-counterfeit label or two dimensional code or the region being associated with figure finger URL, Size;
It is described a kind of with the random anti-counterfeit of circular concentric figure finger URL and/or concentric boxes shape figure finger URL label Or the recognition positioning method of two dimensional code, random anti-counterfeit label or two dimensional code with figure finger URL can be obtained or be associated The characteristic informations such as position, size, the tilt angle in region;
S32. the image of random anti-counterfeit label or two dimensional code with figure finger URL is taken out from image;
Marked according to the random anti-counterfeit with figure finger URL determined or the position in two dimensional code or the region being associated, Size, and extend the range of setting around, from original image screenshot obtain the label of the random anti-counterfeit with figure finger URL or The image of two dimensional code;
S33. it records the image information of taking-up and the relative random anti-counterfeit with figure finger URL marks or two dimension The information of code, including unique identifier;
The image taken out and its relevant information are recorded, recording mode includes at least one of following manner: local record, Long-range record, distributed storage.
Embodiment 12
Figure 13 is that one kind of embodiment shown in Figure 12 of the invention is with circular concentric figure finger URL and/or square with one heart The random anti-counterfeit of blocki diagram shape finger URL marks or the optional processing flow schematic diagram of the method for sampling of two dimensional code, operates in meter It preferably include these processing steps in calculation machine system, as shown in figure 13, including following processing steps:
S34. the image of taking-up is saved as individual image file;
S35. raw image files are recorded;
S36. Item Information relevant to the random anti-counterfeit label or two dimensional code that have figure finger URL is recorded;
S37. the information recorded is stored in server end and/or distributed storage in server end, to obtain higher number According to safety, faster system response speed;
S38. the data of two dimensional code storage are identified, and store the data.
Embodiment 13
Figure 14 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the structural schematic diagram of the sampling apparatus of two dimensional code, as shown in figure 14, including sampling control Device 71 processed, sampling camera 72.
The sampling controller 71 is computer control;The sampling controller 71 cooperates with the sampling camera 72 It connects, be equipped with;
It includes the concentric circles ring-shaped figure finger URL that the sampling controller 71 is obtained by the sampling camera 72 And/or the image of the concentric boxes shape figure finger URL;
The sampling controller 71 can recognize that the concentric loop finger URL and/or the concentric boxes shape figure are fixed The position of position symbol and/or size and/or tilt angle and/or multiple concentric loop finger URLs and/or the concentric boxes The distance between shape figure finger URL;
The sampling controller 71 can recognize that two dimensional code with concentric circles ring-shaped figure finger URL and/or with same The position of the random anti-counterfeit label of heart circular ring shape figure finger URL and/or size and/or tilt angle;
The sampling controller 71 can distinguish the data of the record of the two dimensional code with concentric circles ring-shaped figure finger URL;
The sampling controller 71 can extract the position of the label of the random anti-counterfeit with concentric circles ring-shaped figure finger URL And/or size and/or tilt angle information.
Further, the sampling controller 71 is portable computer device.
It should be noted that it is described with circular concentric figure finger URL and/or concentric boxes shape figure finger URL with The sampling apparatus of machine anti-fake mark or two dimensional code, is computer system, runs corresponding processing method thereon.
Embodiment 14
Figure 15 is one kind of another embodiment of the invention with circular concentric figure finger URL and/or concentric boxes shape The random anti-counterfeit of figure finger URL marks or the structural schematic diagram of the sampling server of two dimensional code, as shown in figure 15, including sampling Server 81.
The sampling server 81 is computer server system;Including storage subsystem, communication subsystem;Optionally, Including distributed computing system;It preferably include distributed computing system.
Embodiment 15
Figure 16 is a kind of identification side of random anti-counterfeit label with figure finger URL of another embodiment of the invention The processing flow schematic diagram of method is run on the computer systems, as shown in figure 16, including following processing steps:
S41. random anti-counterfeit label and its relevant information with figure finger URL are obtained;
Corresponding unique identifier is marked by the random anti-counterfeit with figure finger URL, is obtained with figure finger URL Random anti-counterfeit label and its relevant information;The relevant information, including text relevant to random anti-counterfeit label, image, shadow As information etc.;
S42. random anti-counterfeit label and its relevant information of the display with figure finger URL;By checking the information of display, Artificial contrast analyzes its true and false.
Embodiment 16
Figure 17 is a kind of mirror of random anti-counterfeit label with figure finger URL of embodiment shown in Figure 16 of the invention Determine the optional processing flow schematic diagram of method, preferably includes these processing steps, run on the computer systems, such as Figure 17 It is shown, including following processing steps:
S43. information retrieval is carried out according to unique identifier;
S44. unique identifier is obtained by reading two dimensional code.
Embodiment 17
Figure 18 is a kind of identification dress of random anti-counterfeit label with figure finger URL of another embodiment of the invention The structural schematic diagram set, as shown in figure 18, including identification controller 91, identification camera 92;The identification controller 91 is meter Calculate machine controller;The identification controller 91 is cooperatively connected with the identification camera 92, is equipped with;
A kind of identification method of random anti-counterfeit label with figure finger URL is run thereon.
Further, described to identify that controller 91 is portable computer device.
Embodiment 18
Figure 19 is a kind of identification clothes of random anti-counterfeit label with figure finger URL of another embodiment of the invention The structural schematic diagram of business device, as shown in figure 19, including authentication server 95.
The authentication server 95 is computer server system;Including storage subsystem, communication subsystem;Optionally, Including distributed computing system;It runs thereon, with a kind of identification method of the random anti-counterfeit label with figure finger URL Relevant processing;It preferably include distributed computing system.
Embodiment 19
Figure 20 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The processing flow schematic diagram for levying extracting method, the program comprising this method are run on the computer systems, as shown in figure 20, including Following processing steps:
S51. random anti-counterfeit label is divided into M row N column;Using it is described it is a kind of with circular concentric figure finger URL and/ Or the method for sampling of the random anti-counterfeit label of concentric boxes shape figure finger URL, random anti-counterfeit label is sampled, determines it Position;Then, M row N column are divided into;Preferred line space is equal, and column pitch is equal, it is preferred that ranks spacing is all 4;It is insufficient Part, separately as a row or column;
S52. the characteristic value for each image block that computation partition goes out;Using the characteristic value of all image blocks as the random anti-counterfeit The image feature information of label;Calculation method includes at least one of following methods: method of characteristic point, mean value method;The characteristic point Method, the characteristic value with the value of the point of one in described image block determining position, as the image block;The mean value method, with institute State characteristic value of the average value as image block of the value of all the points in image block.
Step S52 is finished, and just obtains the characteristics of image of the basic random anti-counterfeit label with figure finger URL; Optionally, further include following processing step, preferably include following processing step:
S53. the sum of every a line, the characteristic value of each column of acquisition, the characteristic value as corresponding row, column are calculated;With all The image feature information that the characteristic value of capable characteristic value, all column is marked as the random anti-counterfeit;S53 processing, reduces image The data volume of feature;
S54. the image feature information of the random anti-counterfeit label of acquisition is recorded, while the corresponding record random anti-counterfeit marks Corresponding unique identifier.
Embodiment 20
Figure 21 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The processing flow schematic diagram for levying control methods, the program comprising this method are run on the computer systems, as shown in figure 21, including Following processing steps:
S61. the image feature information of identification sample is obtained;With a kind of random anti-counterfeit label with figure finger URL Image characteristic extracting method obtain;
S62. the image feature information of the standard sample of the corresponding random anti-counterfeit label of the unique identifier of storage is obtained, Identify the corresponding unique identifier of sample as foundation using this;The random anti-counterfeit label creating with figure finger URL finishes Afterwards, its image feature information is acquired, and corresponding unique identifier is corresponding and stores, as random anti-counterfeit label The image feature information of standard sample;
S63. feature difference value: the image feature information of standard sample and the image feature information of identification sample is found out, often A corresponding characteristic value subtracts each other the sum of absolute value of the difference of acquisition, is the feature difference value of two image feature informations;
S64. judge comparison result: if feature difference value is less than preset feature difference threshold value, it is believed that the two one It causes, otherwise it is assumed that the two is inconsistent;The feature difference threshold value is preset, less than the 30% of the sum of all profile maximas, Preferably less than 5%.
S64 is finished, and is achieved that a kind of characteristics of image pair of random anti-counterfeit label with figure finger URL The basic handling of ratio method;Optionally, further include following processing step, it is preferred that including following processing step:
S65. the image feature information of record identification sample;
S66. comparison result is recorded.
Embodiment 21
Figure 22 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The structural schematic diagram of extraction element is levied, as shown in figure 22, including feature extraction controller 101, feature extraction camera 102;Institute Stating feature extraction controller 101 is computer control;The feature extraction controller 101 and the feature extraction camera 102 are cooperatively connected, are equipped with;
A kind of image characteristic extracting method of random anti-counterfeit label with figure finger URL is run thereon.
Further, the feature extraction controller 101 is portable computer device.
Embodiment 22
Figure 23 is that a kind of image of random anti-counterfeit label with figure finger URL of another embodiment of the invention is special The structural schematic diagram of sign comparison device, as shown in figure 23, including Characteristic Contrast controller 111, Characteristic Contrast camera 112;Institute Stating Characteristic Contrast controller 111 is computer control;The Characteristic Contrast controller 111 and the Characteristic Contrast camera 112 are cooperatively connected, are equipped with;
A kind of characteristics of image control methods of random anti-counterfeit label with figure finger URL is run thereon.
Further, the Characteristic Contrast controller 111 is portable computer device.
Embodiment 23
Figure 24 is a kind of identification clothes of random anti-counterfeit label with figure finger URL of another embodiment of the invention The structural schematic diagram of business device, as shown in figure 24, including comparison server 121.
The comparison server 121 is computer server system;Including storage subsystem, communication subsystem;Optionally, Including distributed computing system;
Run thereon, with it is described it is a kind of with figure finger URL random anti-counterfeit label image characteristic extracting method, institute State a kind of processing method of the characteristics of image control methods cooperation of random anti-counterfeit label with figure finger URL.
It preferably include distributed computing system.
The above, specific implementation case only of the invention, scope of protection of the present invention is not limited thereto, any ripe Those skilled in the art are known in technical specification of the present invention, modifications of the present invention or replacement all should be in the present invention Protection scope within.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (10)

1. a kind of image characteristic extracting method of the random anti-counterfeit label with figure finger URL, it is characterised in that: including as follows Processing step:
S51. random anti-counterfeit label is divided into M row N column;
S52. the characteristic value for each image block that computation partition goes out;It is marked using the characteristic value of all image blocks as the random anti-counterfeit Image feature information;Calculation method includes at least one of following methods: method of characteristic point, mean value method.
2. a kind of image characteristic extracting method of random anti-counterfeit label with figure finger URL according to claim 1, It is characterized by also including following processing steps:
S53. the sum of every a line, the characteristic value of each column of acquisition, the characteristic value as corresponding row, column are calculated;With all rows The image feature information that characteristic value, the characteristic value of all column are marked as the random anti-counterfeit;
S54. the image feature information of the random anti-counterfeit label of acquisition is recorded, while corresponding record random anti-counterfeit label corresponds to Unique identifier.
3. a kind of characteristics of image control methods of the random anti-counterfeit label with figure finger URL, it is characterised in that: including as follows Processing step:
S61. the image feature information of identification sample is obtained;With a kind of figure of the random anti-counterfeit label with figure finger URL As feature extracting method obtains;
S62. the image feature information of the standard sample of the corresponding random anti-counterfeit label of the unique identifier of storage is obtained, with this Identify that the corresponding unique identifier of sample is foundation;
S63. feature difference value: the image feature information of standard sample and the image feature information of identification sample is found out, it is each right The characteristic value answered subtracts each other the sum of absolute value of the difference of acquisition, is the feature difference value of two image feature informations;
S64. judging comparison result: if feature difference value is less than preset feature difference threshold value, it is believed that the two is consistent, Otherwise it is assumed that the two is inconsistent.
4. a kind of characteristics of image control methods of random anti-counterfeit label with figure finger URL according to claim 3, It is characterized by also including following processing steps:
S65. the image feature information of record identification sample;
S66. comparison result is recorded.
5. a kind of image characteristics extraction device of the random anti-counterfeit label with figure finger URL, it is characterised in that: including feature Extract controller, feature extraction camera;The feature extraction controller is computer control;The feature extraction controller It is cooperatively connected, is equipped with the feature extraction camera;
A kind of image characteristic extracting method of random anti-counterfeit label with figure finger URL is run thereon.
6. a kind of image characteristics extraction device of random anti-counterfeit label with figure finger URL according to claim 5, It is characterized by: the feature extraction controller is portable computer device.
7. a kind of characteristics of image of the random anti-counterfeit label with figure finger URL compares device, it is characterised in that: including feature Compare controller, Characteristic Contrast camera;The Characteristic Contrast controller is computer control;The Characteristic Contrast controller It is cooperatively connected, is equipped with the Characteristic Contrast camera;
A kind of characteristics of image control methods of random anti-counterfeit label with figure finger URL is run thereon.
8. a kind of characteristics of image of random anti-counterfeit label with figure finger URL according to claim 7 compares device, It is characterized by: the Characteristic Contrast controller is portable computer device.
9. a kind of characteristics of image of the random anti-counterfeit label with figure finger URL compares server, it is characterised in that: including right Compare server;The comparison server is computer server;
The comparison server can receive and/or store the standard sample that the random anti-counterfeit with figure finger URL marks And/or the image feature information of identification sample;
The comparison server, can be according to the unique identifier for the random anti-counterfeit label that request carries, the unique identifier pair The standard sample for the random anti-counterfeit label answered and/or the image feature information of identification sample are sent.
10. a kind of characteristics of image of random anti-counterfeit label with figure finger URL according to claim 9 compares service Device, it is characterised in that: the comparison server includes distributed computing system.
CN201710429499.1A 2017-06-08 2017-06-08 A kind of random anti-counterfeit marker characteristic extracts recognition methods, device and server Withdrawn CN109034328A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110427891A (en) * 2019-08-05 2019-11-08 中国工商银行股份有限公司 The method, apparatus, system and medium of contract for identification
CN110443328A (en) * 2019-07-22 2019-11-12 杭州沃朴物联科技有限公司 Fake method, device, equipment and medium are tested in identification based on LED antifalsification label
CN116758296A (en) * 2023-08-21 2023-09-15 深圳前海量子云码科技有限公司 Method, device, equipment and medium for extracting anti-counterfeiting characteristic value of microcosmic coding code pattern

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110443328A (en) * 2019-07-22 2019-11-12 杭州沃朴物联科技有限公司 Fake method, device, equipment and medium are tested in identification based on LED antifalsification label
CN110443328B (en) * 2019-07-22 2023-08-04 杭州沃朴物联科技有限公司 Identification and fake verification method, device, equipment and medium based on LED anti-fake label
CN110427891A (en) * 2019-08-05 2019-11-08 中国工商银行股份有限公司 The method, apparatus, system and medium of contract for identification
CN110427891B (en) * 2019-08-05 2022-06-10 中国工商银行股份有限公司 Method, apparatus, system and medium for identifying contract
CN116758296A (en) * 2023-08-21 2023-09-15 深圳前海量子云码科技有限公司 Method, device, equipment and medium for extracting anti-counterfeiting characteristic value of microcosmic coding code pattern
CN116758296B (en) * 2023-08-21 2023-12-05 深圳前海量子云码科技有限公司 Method, device, equipment and medium for extracting anti-counterfeiting characteristic value of microcosmic coding code pattern

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