文章基本信息

标题：Detecting Image Spam Based on Image Features using Maximum Likelihood Technique
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作者：Minal Kamble ; Chhaya Dule
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver 3
出版社：Ayushmaan Technologies
摘要：Today, the internet is the most powerful tools throughout the world. But the explosive growth of unsolicited emails has prompted the development of numerous spam filtering techniques It needlessly obstruct the entire system. Spammers are creating new ways against anti-spam technology. By the end of 2006, the nature of spam had totally shifted. The newest of which is the image-based spam. Traditional techniques are not sufficient to deal with these image spam. Combating with the image spam is a serious issue for the entire world. Image spam has become the main form of spam, it is a problem crying out for solutions to effectively filter such spam nowadays. In this paper a maximum likelihood method has been proposed for the classification of spam images.
关键词：Spam; Image Spam; Feature Extraction; ClassificationAIL