Method and device for identifying image of junk e-mail based on high-order autocorrelation characteristic

A technology of autocorrelation features and spam, applied in character and pattern recognition, electrical components, computer components, etc., to achieve good robustness and strong anti-interference ability

Inactive Publication Date: 2009-12-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Although this method has a faster recognition speed, it can only identify fewer image spam

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  • Method and device for identifying image of junk e-mail based on high-order autocorrelation characteristic
  • Method and device for identifying image of junk e-mail based on high-order autocorrelation characteristic
  • Method and device for identifying image of junk e-mail based on high-order autocorrelation characteristic

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Embodiment Construction

[0026] In order to make the purpose, technical solution, and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings.

[0027] Fig. 1 is a template designed according to the autocorrelation function in order to extract the high-order autocorrelation features of the image in the present invention.

[0028] In the present invention, it is necessary to extract 0-order, 1-order and 2-order autocorrelation features. Since some features can be obtained by rotating another feature, 25 3×3 templates are obtained after screening the high-order autocorrelation features. In the template shown in Figure 1, the points marked with "*" indicate points that do not need to be paid attention to, and the points marked with "1" indicate points that need to be paid attention to. As long as a 3×3 local area in the binary edge image corresponds to all positions marked as “1” in a certain template are ed...

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Abstract

The invention relates to an image processing technique and a correlative technique in the field of mode identification and discloses a method and a device for automatically identifying the image of a junk e-mail. In the invention, the automatic classification of the image of a normal e-mail and the image of a junk e-mail is realized by utilizing the high-order autocorrelation characteristic of the image and combining a support vector machine. The method comprises the following steps: firstly, an edge detection operator is utilized to extract the binaryzation edge of the image; secondly, 25 high-order autocorrelation characteristic extraction templates of 3*3 are designed according to a high-order autocorrelation function and are utilized to obtain the 25-dimensional high-order autocorrelation characteristic of the image; thirdly, normalization processing is carried out to the obtained 25-dimensional high-order autocorrelation characteristic, and all the characteristic values are positioned between 0 and 1; and finally, automatic identification is carried out to the image by utilizing a classifier of the support vector machine. In the invention, because the high-order autocorrelation characteristic has the advantages of translation and rotational invariance, the device has better anti-interference performance.

Description

technical field [0001] The invention relates to image processing and pattern recognition technology, in particular to a spam image feature extraction and recognition technology and device. Background technique [0002] After more than 30 years of development, e-mail has become an indispensable part of the Internet, and more and more people use e-mail as a tool for their communication and communication. However, the proliferation of spam has made this convenient means of communication a huge challenge. At present, my country has become one of the hardest hit areas of spam. According to a survey report released by the Anti-Spam Center of the Internet Society of China in January 2008, more than half of the emails received by Chinese users are spam. The problem of spam has attracted the attention of all walks of life, and a large number of spam detection algorithms have emerged, such as IP blacklists, behavior-based filtering methods, rule-based spam detection algorithms, text...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/58G06K9/62
Inventor 程红蓉刘峤陈佳万明成邓蔚刘伟
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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