Virtu identifying method based on texture analysis

Abstract

The invention discloses a virtu identifying method based on texture analysis, which comprises the following steps: selecting an acquiring point with identifiability on a genuine virtu, recording the position information of the acquiring point, obtaining a matching datum image of the acquiring point; obtaining a matching identification image of the corresponding acquiring point on an identified virtu according to the position information of the acquiring point of the genuine virtu; obtaining texture characteristic points of the matching datum image and the matching identification image based on a Gaussian kernel finite difference operator; appointing a plurality of directions of each texture characteristic point according to the gradient directions of adjacent points in a neighborhood; leading each texture characteristic point to obtain at least 32-dimension characteristic vectors based on the accumulated gradient directions of a plurality of adjacent points in the neighborhood; and using Euclidian distance of the characteristic vectors of the texture characteristic points as a similarity determination measurement of the image. The identifying method realizes the truth identification function through the uniqueness of the texture of the virtu without adding additional materials and damaging the structure of the virtu, and is easy to popularize and apply.

Description

technical field [0001] The invention relates to an identification method for identifying the authenticity of artworks based on digital image processing technology, in particular to an identification method for artworks based on texture analysis. Background technique [0002] With the development of science and technology, there are more and more ways of counterfeiting in the market, and the degree of counterfeiting is sometimes difficult for experts to distinguish, seriously affecting the normal operation of the market. Merchants often use anti-counterfeiting technology on their products in order to distinguish their products from counterfeit products. For example: adding a microelectronic chip to the product, using the uniqueness of the chip to identify the authenticity of the product; Uniqueness to distinguish the authenticity of the product; or the code anti-counterfeiting technology tested by SMS to distinguish the authenticity of the product. At present, the art marke...

AI Technical Summary

Problems solved by technology

[0003] However, the anti-counterfeiting technologies mentioned above are more or less insufficient.

Using the method of adding microelectronic chips requires loading additional chips on the product, which is easy to damage the structure of the original product, especially for some products with specific structures

Although the method of addin...

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