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计算机应用研究 2007
Research on spam filtering system based on visual features analysis
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Abstract:
After analyzing a large collection of spare e-mails containing images,proposed an anti-spam system based on visual features analysis.It extracted useful visual features and used one-class support vector machine to identify and filter spam.The experimental results indicate that the proposed method can get satisfactory,filtering effect with higher detection rate and lower false positives.