SVM-Based Pornographic Images Detection

被引：0

作者：

Yin, Haiming ^{[1
]}

Huang, Xiangqiong ^{[1
]}

Wei, Yuanwang ^{[1
]}

机构：

[1] Jiaxing Univ, Comp Applicat Res Lab, Jiaxing 314001, Peoples R China

来源：

SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: THEORY AND PRACTICE, VOL 2 | 2012年 / 115卷

关键词：

pornographic image detection; skin identifying; texture filterine; fractal dimension;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new automatic system for pornographic image detecting. An improved section skin model in RGB color space is employed to identify the rough skin regions. An original texture filter is used to modify these regions. Then the useful information of skin regions is extracted. Close-up face images are excluded by the face detection. At last all the information of skin and face is all fed to the SVM Classifier to tell whether the image is pornographic or not. Our experiments on real-world web image data indicate that our system can improve the accuracy of pornographic content detection significantly.

引用

页码：751 / 759

页数：9

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