Intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT)

A texture and texture image technology, which is applied in the field of intelligent texture anti-counterfeiting, automatic identification of texture anti-counterfeiting labels to identify the authenticity of goods, can solve the problems of time-consuming, manual comparison, etc., and achieve strong resistance to geometric attacks, fast acquisition, strong resistance Effects of Regular Attack Abilities

Inactive Publication Date: 2013-07-10
HAINAN UNIVERSITY
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Problems solved by technology

[0004] There are following deficiencies in the above-mentioned identification method in practical application: 1) need manual comparison
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.

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  • Intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT)
  • Intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT)
  • Intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT)

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[0099] 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 black frame is in order to guarantee energy conservation when geometric transformation (according to Parseval energy conservation theory DFT 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 DFT coefficient matrix is ​​FF(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 4x4=16 complex coefficients of medium and low frequency as the feature vector V (here, a complex number is regarded as two coefficients of real part and imaginary part), and there are 16x2=32 low-intermediat...

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Abstract

The invention discloses an intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT), belonging to the field of texture counterfeiting prevention. The method comprises the following steps of establishing a textural feature database, namely (1) performing total graph DFT on each original texture tag image so as to obtain a visual feature vector V(n); (2) storing the N solved feature vectors in the textural feature database; and performing automatic image identification, namely (3) scanning a texture tag image to be tested through a mobile phone, solving a visual feature vector V' by employing the method in the step 1, and uploading the visual feature vector V' to a server; (4) solving a normalized correlation coefficient NC(n) value between the visual feature vectors V(n) of all texture images and the visual feature vector V' of the image to be tested in the database; and (5) returning a maximum value of NC(n) back to the mobile phone of a user. The experiment proves that the method has the advantages that the texture image can be automatically identified, the storage space of the database is saved and the operational speed is high.

Description

technical field [0001] The invention relates to an intelligent texture anti-counterfeiting technology based on DFT transformation and image visual features, which is a method for automatically identifying texture anti-counterfeiting labels so as to distinguish the authenticity of commodities, and belongs to the field of texture anti-counterfeiting technology. Background technique [0002] 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-counterfeiting paper technology and its application products, mobile Internet anti-counterfeiting technology. Among them, texture anti-counterfeiting belongs to the third-gener...

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Application Information

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IPC IPC(8): G06K9/64G06K9/46G06Q30/00
Inventor 李京兵黄梦醒李雨佳李爱玲
Owner HAINAN UNIVERSITY
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