J4
• 论文 • 上一篇 下一篇
许洋洋，袁 华
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
XU Yang-yang,YUAN Hua
Received:
Revised:
Online:
Published:
Contact:
摘要： 垃圾邮件制造者为了躲避基于文本的垃圾邮件过滤器的过滤，常常将文字嵌入到图像中，产生了大量的广告垃圾图像.为解决这一问题，提出了基于图像内容的垃圾图像过滤方法.首先提取出图像中的文字区域，再利用广告垃圾图像中的文字区域特征进行广告垃圾图像过滤.实验结果表明利用文字区域特征过滤广告垃圾图像是行之有效的.
关键词: 文字区域提取, 广告垃圾图像, 基于内容的图像过滤
Abstract: In recent years, the problem of spam email becomes more and more serious. To shield from the textbased spam filters, the senders of spam embed text into image and then more and more spam images appear in emails. To solve this problem, the advertisement spam image filtering method based on image content is brought forward. Firstly, the text areas are extracted from the image, and then the features of these text areas are used to filter the spam images. The result of the experiment shows that the method is effective.
Key words: the image filtering based on image content , advertisement spam image, extracting the text area
许洋洋,袁 华 . 一种基于内容的广告垃圾图像过滤方法[J]. J4, 2006, 41(3): 37-41 .
XU Yang-yang,YUAN Hua . The advertisement spam image filtering method based on image content[J]. J4, 2006, 41(3): 37-41 .
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: http://lxbwk.njournal.sdu.edu.cn/CN/
http://lxbwk.njournal.sdu.edu.cn/CN/Y2006/V41/I3/37
Cited
