文章基本信息

标题：Detecting Image Spam Based on Image Features using Maximum Likelihood Technique
本地全文：下载
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：1
页码：461-463
语种：English
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 thedevelopment of numerous spam fltering techniques It needlesslyobstruct the entire system. Spammers are creating new waysagainst anti-spam technology. By the end of 2006, the nature ofspam had totally shifted. The newest of which is the image-basedspam. Traditional techniques are not suffcient to deal with theseimage spam. Combating with the image spam is a serious issuefor the entire world. Image spam has become the main form ofspam, it is a problem crying out for solutions to effectively fltersuch spam nowadays. In this paper a maximum likelihood methodhas been proposed for the classifcation of spam images.