Anti-image spam method and device

Abstract

The invention relates to image processing technology and technology related to the field of pattern recognition and discloses an automatic recognition method and a device by utilizing spam images. Metadata, color features, texture features of the images as well as a support vector machine are used to realize automatic sorting of normal email images and spam images. The metadata of the image are extracted at first; then the color features of the images are extracted; then the texture features and shape features of the images are extracted; and finally, a support vector machine sorter recognizes the images automatically. In the invention, as the metadata features, the color features, the texture features and the shape features of the images are extracted, the speed is relatively fast, and the efficiency is high.

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, email has become a very important part of the Internet, and email plays an increasingly important role in people's communication and communication. However, the proliferation of spam has made e-mail a huge challenge. At present, our country has become a victim of spam. According to the "Statistical Report on Internet Development in China" released by the China Internet Network Information Center (CNNIC), in January 2004 Chinese netizens received an average of 7.9 spam emails per week, but in January 2009 Chinese netizens received an average of The number of emails reached 17.55. With the increase of the number of netizens, the number of spam emails is also increasing. There are three main types of spam received by or...

AI Technical Summary

Problems solved by technology

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

Images