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.
In recent years, the problem of spare e-mail becomes more and more serious. To shield from the text-based spare filters, the ,senders of spare embed text into image and then more and more spam images appear in e-mails, To solve this problem, the advertisemem, 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 spare images. The result of the experiment shows that the method is effective.
出处
《山东大学学报(理学版)》
CAS
CSCD
北大核心
2006年第3期73-78,共6页
Journal of Shandong University(Natural Science)
基金
国家CNGI资助项目(CNGI-04-15-7A)
关键词
文字区域提取
广告垃圾图像
基于内容的图像过滤
extracting the text area
advertisement spam image
the image filtering based on image content