A FAST IMAGE SPAM FILTER BASED ON ORB

被引：0
|
作者：
Hou, Yixin [1 ]
Zhao, Bo
Zhang, Honggang
Yan, Hanbing
机构：
[1] Beijing Univ Posts & Telecommun, Pattern Recognit & Intelligent Syst Lab, Beijing 100876, Peoples R China
来源：
PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2012) | 2012年
基金：
中国国家自然科学基金;
关键词：
Sub-block color histogram; ORB; Scalable vocabulary tree;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image spam has become a new obfuscating method to bypass conventional text based spam filters. In this paper, a new kind of image spam filtering method is proposed based on the characteristics of the spam being sent repeatedly and their contents being highly resemble to each other. We extract sub-block color histogram and ORB as image feature and run a scalable vocabulary tree to detect image spam. The system is tested on Mark Dredze's dataset and our own Chinese image spam corpus. Experimental results demonstrate that the proposed method can achieve good accuracy while having a less than 0.02% false positive rate.
引用
收藏
页码：503 / 507
页数：5
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