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

A DWT-DCT and texture technology, which is applied in the field of automatic identification of texture anti-counterfeiting labels, can solve the problems of time-consuming, manual comparison, etc., and achieve the effect of strong resistance to geometric attacks, fast acquisition, and reduced capacity

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 this reason, the conventional texture anti-counterfeiting technology has certain shortcomings in terms of intelligence, rapidity and occupied storage space of identification.
In particular, the research on intelligent algorithms for automatic identification has not yet been publicly reported.

Method used

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

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Embodiment Construction

[0116] Below in conjunction with accompanying drawing, the present invention will be further described, select a texture picture with black frame as original texture image, add black frame in order to guarantee energy conservation when geometric transformation, be 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 DWT-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 Arranged in order of highest 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 DWT-DCT coefficient matrix is ​​FD(i, j), 1≤i≤4, 1≤j≤8. After V' is extracted by the image feature vector extraction algorithm, the normalized correlation coefficient NC (Normalized...

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Abstract

The invention discloses an intelligent texture anti-counterfeiting method based on DWT-DCT (Dreamweaver Template-Discrete Cosine Transform) transformation, belonging to the technical field of texture anti-counterfeiting. The intelligent texture anti-counterfeiting method comprises the following steps of: firstly establishing a feature database, to be specific, (1) carrying out wavelet transformation on texture images and then carrying out full-graph DCT transformation on approximate sub-images, thus extracting a feature vector V(n), and (2) storing the determined feature vectors in the textural feature database; and automatically identifying the images, to be specific, (3) scanning texture label images to be tested by using a mobile phone, determining the feature vectors V' of the images to be detected by using the method of the step (1), and uploading the feature vectors V' to a server; (4) determining a normalized correlation coefficient NC (N) value between the feature vectors V(n) of all the texture images in the feature database and the 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 intelligent texture anti-counterfeiting technology is realized.

Description

technical field [0001] The invention belongs to the technical field of texture anti-counterfeiting. The invention relates to an intelligent texture anti-counterfeiting technology based on wavelet transform (DWT), discrete cosine transform (DCT) and image visual features, specifically a method capable of automatically identifying texture anti-counterfeiting labels. 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. In order to solve the problem of counterfeit and shoddy products, it is imperative to use anti-counterfeiting technology. 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 b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06Q30/00
Inventor 李京兵黄梦醒白勇任佳
Owner HAINAN UNIVERSITY
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