Recognition Method of Image Spam Mail Based on Image Texture
Lue Zhang · Microcomputer applications · 2009
The current recogonition technology of image spam mails has low detection rate in text-embeded image spam mails,furthermore,it's easy to be interfered by background noise in images.A novel method by using Gabor filter with Support Vector Machine(SVM) classification is proposed in this paper.In the experiments,higher anti-jamming rate and detection rate were obtained.