Intelligent texture anti-counterfeiting method based on DCT (Discrete Cosine Transform) transformation

A texture and texture image technology, applied in data processing applications, instruments, computing, etc., can solve the problems of manual comparison and time-consuming, etc., and achieve the effects of fast acquisition, strong resistance to geometric attacks, and accelerated network transmission speed

Inactive Publication Date: 2013-06-26
HAINAN UNIVERSITY
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Problems solved by technology

[0004] The above texture anti-counterfeiting method has the following deficiencies in practical application: 1) manual comparison is required
When comparing texture anti-counterfeiting labels, users must first download clear texture photos from the Internet, which takes a long time
[0005] For

Method used

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  • Intelligent texture anti-counterfeiting method based on DCT (Discrete Cosine Transform) transformation
  • Intelligent texture anti-counterfeiting method based on DCT (Discrete Cosine Transform) transformation
  • Intelligent texture anti-counterfeiting method based on DCT (Discrete Cosine Transform) transformation

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Embodiment Construction

[0100] The present invention will be further described below in conjunction with accompanying drawing, select a texture picture with a black frame as the original texture image, adding a black frame is to ensure energy conservation during geometric transformation (according to Parseval energy conservation theory DCT transformation energy conservation), Recorded as: F={f(i, j)|f(i, j)∈R; 1≤i≤N1, 1≤j≤N2}, see Figure 1(a), where the size of the texture image is 128× 128. The corresponding full-image DCT coefficient matrix is ​​FD(i, j), select the low-intermediate frequency coefficient Y(j), 1≤j≤L, the first value Y(1) represents the DC component of the image, and then from low to high in order of frequency. Considering the goodness of the detection effect, we choose 4x8=32 coefficients in the middle and low frequencies as the feature vector V, that is, L=32. The selected DCT coefficient matrix is ​​FD(i, j), 1≤i≤4, 1≤j≤8. After V' is extracted by the image feature vector extr...

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Abstract

The invention discloses an intelligent texture anti-counterfeiting method based on DCT (Discrete Cosine Transform) transformation, belonging to the texture anti-counterfeiting field. The intelligent texture anti-counterfeiting method comprises the following steps of: firstly establishing a textural feature database, to be specific, (1) carrying out full-graph DCT transformation on each original texture label image, and obtaining feature vectors V(n) in a transfer domain, and (2) storing the determined N feature vectors in the textural feature database; and then automatically identifying the images, to be specific, (3) scanning texture label images to be tested by using a mobile phone, determining the visual feature vectors V' of the images to be detected by using the method of the step (1), and uploading the visual feature vectors V' to a server; (4) determining a normalized correlation coefficient NC (N) value between the feature vectors of all the texture images in the feature database and the visual feature vectors V' of the images to be detected, and (5) returning the maximum value of the NC(n) to the mobile phone of a user. Experiments prove that the intelligent texture anti-counterfeiting method has the capacity of automatically identifying the texture images and the network transmission speed is fast.

Description

technical field [0001] The invention relates to an intelligent texture anti-counterfeiting technology based on DCT transformation and image visual features, is a method capable of automatically identifying texture anti-counterfeiting labels, and belongs to the field of texture anti-counterfeiting technology. Background technique [0002] Counterfeit and shoddy goods seriously endanger the legitimate rights and interests of consumers and seriously disrupt the rules of the entire social and economic operation. It is a serious social and political problem. Anti-counterfeiting technology is a technical means used to identify authenticity and prevent counterfeiting and counterfeiting. From the perspective of technical characteristics and functional evolution, current anti-counterfeiting technology can be divided into the following five generations of products: laser labels, query digital anti-counterfeiting labels, texture anti-counterfeiting Labels, security thread anti-counterf...

Claims

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Application Information

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IPC IPC(8): G06K9/64G06K9/46G06Q30/00
Inventor 李京兵杜文才李雨佳李爱玲
Owner HAINAN UNIVERSITY
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