An algorithm of pornographic image detection

作者：Zhu, Hong^*; Zhou, Shuming; Wang, Jianying; Yin, Zhongke

来源：4th International Conference on Image and Graphics, Sichuan Univ, Chengdu, PEOPLES R CHINA, 2007-08-22 to 2007-08-24.

DOI：10.1109/ICIG.2007.29

• texture
• skin model
• white balance
• SVM

Real-time detection of pornographic images can effectively prevent pornographic images from spreading on the Internet. The methods of detection mainly focus on the identification of skin region. To overcome the disadvantages of traditional algorithms, in this paper, we propose a skin model based on the combination of YIQ, YUV, and HSV. In the step of the pre-dealing, we use white balance algorithm to achieve better skin area. Then, texture model based on Gray Level Co-Matrix (GLCM) and geometric structure of human beings are used to decrease the disruptions of the background region similar with the skin area. The features which extracted from the last images dealt by color and texture model are input into Support Vector Machines (SVM), through which the pornographic images and assorted control images are classified successfully. An experiment using 400 pornographic images and 400 assorted control images is carried out. Experimental results show that the algorithm of skin texture-based and feather-based detection has perfect performances, and the detection rate can reach 88.89%.

• 出版日期2007
• 单位西南交通大学; 香港中文大学; 中国科学院深圳先进技术研究院