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Random texture anti-counterfeit identification pattern judging method

A technology of anti-counterfeiting marking and judging method, which is applied to computer components, character and pattern recognition, instruments, etc., can solve the problems of failure of similarity comparison of logo patterns, affecting authenticity judgment results, etc., to improve accuracy and security , improve accuracy, improve the effect of similarity

Pending Publication Date: 2019-01-22
BEIJING KESIYUAN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There will be more or less various interferences in the process of the identifier obtaining the logo pattern, especially for the anti-counterfeiting logo pattern containing random textures, which is easily affected by the phone model, shaking, focus, Light and shade, light color, pollution, light angle, shooting angle and other interferences, if these interferences are ignored, it will lead to the failure of the comparison of the similarity of the logo pattern, which will affect the final authenticity judgment result

Method used

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  • Random texture anti-counterfeit identification pattern judging method
  • Random texture anti-counterfeit identification pattern judging method
  • Random texture anti-counterfeit identification pattern judging method

Examples

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no. 1 example

[0039] Please refer to figure 1 , is the step diagram of the first embodiment of the random texture anti-counterfeiting label pattern determination method of the present invention, as shown in the figure, the determination method of the present invention includes: Step 1, storing the reference pattern data in the database, where the reference pattern data is used as Compare the basic standard pattern data; step 2, obtain the pattern data of the recognizer, where the pattern data of the recognizer is the pattern data obtained by the recognizer by photographing or scanning the identification pattern encountered by the recognizer through a mobile phone or other mobile terminal. The sequence of step 1 and step 2 is not specifically limited; step 3, the data preprocessing step, performs data preprocessing on the pattern data; step 4, compares the pattern data after the data preprocessing step, and obtains the similarity. Judging whether the pattern data of the recognizer matches th...

no. 2 example

[0055] The technical solution of this embodiment is basically the same as that of the above-mentioned first embodiment, the difference is that when preprocessing the identifier pattern data or the reference pattern data, multiple preprocessing methods are used to obtain multiple preprocessing The identifier pattern data A1 to An or a plurality of preprocessed reference pattern data B1 to Bm. This embodiment is divided into the following two situations:

[0056] In the first case, only multiple preprocessing is performed on the recognizer pattern data in step 3, then in step 4, a plurality of preprocessed recognizer pattern data A1 to An are compared with the reference pattern data respectively to obtain a plurality of similar Degree value (that is, n similarity values), take the largest similarity value among them.

[0057] In the second case, only multiple preprocessing is performed on the reference pattern data in step 3, then in step 4, multiple preprocessed reference patt...

no. 3 example

[0061] The technical solution of this embodiment is basically the same as the above-mentioned second embodiment, the difference is that in step 3, when performing preprocessing, multiple preprocessing is performed on the recognizer pattern data and the reference pattern data at the same time to obtain multiple preprocessing The processed identifier pattern data A1 to An and a plurality of preprocessed reference pattern data B1 to Bm; in step 4, the plurality of preprocessed identifier pattern data A1 to An are respectively compared with the plurality of preprocessed Comparing the reference pattern data B1 to Bm, correspondingly obtain n*m similarity values, and take the maximum similarity value among them.

[0062] Compared with the second embodiment, this embodiment can obtain more similarity values, and also make the selection of similarity values ​​more accurate, which is more conducive to the subsequent judgment steps, so that the reliability of anti-counterfeiting identifi...

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Abstract

The invention discloses a random texture anti-counterfeit identification pattern judging method, which comprises the following steps: 1, storing reference pattern data in a database; 2, obtaining identifier pattern data; 3, carrying out data preprocessing on that pattern data; 4, comparing the pattern data after the data preprocessing step to obtain the similarity degree, and then judging the matching degree of the pattern marks. The method of the invention pretreats the pattern data, reduces the influence of various interferences on the pattern similarity degree, and improves the accuracy andsafety of the anti-counterfeit identification.

Description

technical field [0001] The invention relates to a method for judging an anti-counterfeit mark, in particular to a method for judging a random texture anti-counterfeit mark pattern. Background technique [0002] With the development of anti-counterfeiting technology, anti-counterfeiting marks have been widely used in the field of product anti-counterfeiting. The types of anti-counterfeiting marks are also constantly upgrading and changing to meet higher anti-counterfeiting requirements. [0003] The random texture anti-counterfeiting mark pattern is to arrange random texture patterns around the mark pattern to form an overall random texture anti-counterfeiting mark pattern. When identifying the authenticity of the anti-counterfeiting pattern, the random texture pattern participates in it, and the recognizer compares the obtained mark pattern with the benchmark The logo patterns are compared, and the comparison results will be used as an important basis for judging the authen...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/34G06K9/46
CPCG06V10/267G06V10/44G06V10/751
Inventor 孙显林
Owner BEIJING KESIYUAN TECH
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