Abstract
Abstract—With the population of Internet around the world, email has become one of the main methods of communication among people. Due to the flood of online information, great amount of the spam emails brings troubles to people. The number of technical approaches of spam filtering are increasing which are mostly based on the text spam filtering technologies. But it is not very effective for test messages imbedded into images which are developing rapidly in recent years. In this paper, we propose an approach of spam image filtering. Our approach combines the characteristics of spam images with the corner point density to detect spam images. The effectiveness of the proposed approach is experimentally evaluated.
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