图像型垃圾邮件过滤技术研究综述  

Survey on Image-Based Spam Filtering Technology

作　　者：宋文[1] 张明新[1] 彭太乐[1] 

机构地区：[1]淮北师范大学计算机科学与技术学院,淮北235000

出　　处：《计算机系统应用》2011年第10期255-258,共4页Computer Systems & Applications

基　　金：安徽省高校自然科学研究重点项目(KJ2010A304);2011年度淮北师范大学青年科研项目(2011XQXM45)

摘　　要：首先概述了图像型垃圾邮件的基本概念;其次根据不同的标准对图像型垃圾邮件过滤技术进行了分类,并评述了各种图像型垃圾邮件过滤方法和技术;对已经用于图像型垃圾邮件分类的两类共五种分类算法进行了理论分析与效果比较;最后对图像型垃圾邮件过滤技术的研究方向进行了展望。This paper firstly introduced the basic concept of image-spam. And then it classified image-based spam filtering technology according to different standards. Meanwhile, it analyzed and evaluated the popular and major image-based spam filtering methods and technologies. Then it discussed and compared two categories five classification algorithms which have been used in image-based spam filtering were outlined. Finally, it gave some future directions of research on the techniques of image-based spam filtering.

关 键 词：图像型垃圾邮件 垃圾邮件图像 过滤技术 分类算法 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]