Image Spam Filtering Based on Gradient and Color Feature
Shuai Jian-mei · Jisuanji gongcheng · 2010
This paper proposes uses gradient histogram and color histogram as classification feature to analyze the difference between Least Square-Support Vector Machine(LS-SVM) algorithm and Support Vector Machine(SVM) algorithm.It compares the LS-SVM algorithm with several traditional algorithms and introduces LS-SVM algorithm into image spam filtering.Experimental results show that the method can improve the detection rate of image spam.