计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2009年
15期
209-211
,共3页
万明成%耿技%程红蓉%王勇
萬明成%耿技%程紅蓉%王勇
만명성%경기%정홍용%왕용
图像垃圾邮件%颜色特征%角点特征%支持向量机
圖像垃圾郵件%顏色特徵%角點特徵%支持嚮量機
도상랄급유건%안색특정%각점특정%지지향량궤
image spam%color feature%comer feature%Support Vector Machine(SVM)
垃圾邮件制造者将垃圾信息嵌入图像中,使基于文本内容的反垃圾邮件系统失效.对垃圾邮件图像的特点深入分析后,提出一种垃圾邮件图像识别算法.垃圾邮件图像多为计算机合成图像,其颜色不如自然图像丰富,且因含有大量文字导致图像中角点角度值分布呈现出一定的规律性.针对此问题选用颜色和角点特征并结合支持向量机分类算法来识别垃圾邮件图像.实验结果表明,该算法对真实垃圾邮件图像的识别精确率超过98%.
垃圾郵件製造者將垃圾信息嵌入圖像中,使基于文本內容的反垃圾郵件繫統失效.對垃圾郵件圖像的特點深入分析後,提齣一種垃圾郵件圖像識彆算法.垃圾郵件圖像多為計算機閤成圖像,其顏色不如自然圖像豐富,且因含有大量文字導緻圖像中角點角度值分佈呈現齣一定的規律性.針對此問題選用顏色和角點特徵併結閤支持嚮量機分類算法來識彆垃圾郵件圖像.實驗結果錶明,該算法對真實垃圾郵件圖像的識彆精確率超過98%.
랄급유건제조자장랄급신식감입도상중,사기우문본내용적반랄급유건계통실효.대랄급유건도상적특점심입분석후,제출일충랄급유건도상식별산법.랄급유건도상다위계산궤합성도상,기안색불여자연도상봉부,차인함유대량문자도치도상중각점각도치분포정현출일정적규률성.침대차문제선용안색화각점특정병결합지지향량궤분류산법래식별랄급유건도상.실험결과표명,해산법대진실랄급유건도상적식별정학솔초과98%.
Spammers embed spain message into images and failed many text-based anti-spare systems. This paper proposes an effective method to discriminate the spam images by analyzing the features of image. Most of spare images are generated by computer, which are not as rich in colors as nature photos. Besides, as contained many texts, the images had certain regularity in comer angle distribution. The algorithm extracts some features of color and comer of image, and identifies spare image by a SVM classifier. Experimental result on a real word data shows that the accuracy rate of the proposed algorithm is more than 98%.
