计算机应用与软件2012，Vol.29Issue(5)：251-253,269,4.
一种基于SVM的网络不良图像过滤方法
AN INTERNET PORN IMAGE FILTERING METHOD BASED ON SVM
周建政 1陈法叶 2姚金良2
作者信息
- 1. 天格科技(杭州)有限公司 浙江 杭州 310005
- 2. 杭州电子科技大学 浙江 杭州 310018
- 折叠
摘要
Abstract
For the demand of filtering pom image on internet, a new fast porn image filtering method based on SVM is presented. The method makes use of the mixed skin colour model to implement the detection of naked skin area, extracts the features of human beings face position, shape and image background, etc. To form the eigenvector. Then the SVM classifier is employed to train to obtain the detection model, and the model is then used in discrimination. The method effectively improves the average recognition rate on porn images. We choose normal and porn images from real internet environment for test, the recognition rate of pom image achieves 83. 9% , and the recognition rate of normal image achieves 93.4% , the average recognition rate achieves 86.6%. Experiment demonstrates that the method meets the demand of practical application.关键词
图片过滤/混合肤色模型/人脸检测/SVM分类器Key words
Image filtering/ Mixed skin colour model/ Face detection/ SVM classifier分类
计算机与自动化引用本文复制引用
周建政,陈法叶,姚金良..一种基于SVM的网络不良图像过滤方法[J].计算机应用与软件,2012,29(5):251-253,269,4.
