Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Anti-counterfeiting texture recognition method

A recognition method and texture technology, applied in the field of anti-counterfeiting, can solve the problems of easy deformation of coded/image-text diffusion patterns, complex texture similarity judgment processing, and unclear texture features, so as to increase the difficulty of forgery, facilitate implementation and promotion, and prevent for the effect of falsification

Active Publication Date: 2017-02-22
WINSAFE TECH SHANGHAI
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, whether it is a natural texture structure or a random zigzag pattern formed by printing, there are still the following disadvantages in actual anti-counterfeiting applications: 1. The texture characteristics may not be clear enough and lack of personalization; 2. The coding / graphic diffusion pattern itself is prone to deformation , fading, and ultimately greatly increase the difficulty of recognition; 3. The judgment and processing of texture similarity is more complicated, and it is difficult to ensure a high degree of recognition

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anti-counterfeiting texture recognition method
  • Anti-counterfeiting texture recognition method
  • Anti-counterfeiting texture recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] figure 2 It is a schematic diagram of the two-dimensional code structure of the present invention; image 3 It is a schematic diagram of the anti-counterfeiting identification process of the present invention.

[0025] See figure 2 and image 3 , a two-dimensional code is printed on the substrate 2, the random texture structure on the substrate 2 is fiber 3, the two-dimensional code is covered on the fiber 3, the two-dimensional code and the fiber 3 are partially covered, the anti-counterfeit texture identification method provided by the present invention, Including the following steps:

[0026] Step S1: Selecting an anti-counterfeit information carrier with a random texture structure as the printing area of ​​the coding mark or the graphic mark on the substrate;

[0027] Step S2: Printing and forming a coded mark or a graphic mark on the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an anti-counterfeiting texture recognition method. The method includes the following steps that: a) an anti-counterfeiting information carrier with a random texture structure is selected as a printing area for a code identifier or graphic & text identifier on a printed material; b) the printed material is printed, so that the code identifier or graphic & text identifier can be formed, wherein the code identifier or graphic & text identifier at least partially covers the random texture structure on the anti-counterfeiting information carrier; and c) the overlapping point of the code identifier or graphic & text identifier and the random texture structure is obtained and is adopted as anti-counterfeiting feature record information. With the anti-counterfeiting texture recognition method of the present invention adopted, requirements for the clarity of the random texture structure can be lowered, the complexity of subsequent recognition processing can be greatly simplified, and recognition accuracy can be improved; and since the texture structure is randomly generated, the overlapping point covered by codes, graphs or texts is also random, and therefore, anti-counterfeiting difficulty can be greatly increased, and stolen anti-counterfeiting data can be prevented from being applied to counterfeiting. The anti-counterfeiting texture recognition method is simple in process and easy to implement and popularize.

Description

technical field [0001] The invention relates to an anti-counterfeiting method, in particular to an anti-counterfeiting texture identification method. Background technique [0002] Texture anti-counterfeiting is an anti-counterfeiting technology that uses the inherent markings on packaging materials as anti-counterfeiting identification marks. Patterns in nature are always varied, such as fingerprints, wood grains, stone patterns, zebra patterns, ice patterns, dry cracked ground and other textures are random and unique, and it is impossible for two to be exactly the same. Using this principle, the anti-counterfeit label is made of clear-textured packaging materials, and the markings of each label material are photographed, numbered, archived, and stored in the anti-counterfeit database. [0003] In addition, the diffusion lines of printed codes or printed graphics are randomly curved micro-curves, which are random, unique, and non-reproducible. Therefore, use the raised dif...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K19/06
CPCG06K19/06037G06V20/80
Inventor 季长平
Owner WINSAFE TECH SHANGHAI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products