Shape-Based Adult Image Detection

Authors:
Qing-Fang Zheng;Wei Zeng;Gao Wen;Wei-Qiang Wang
Affiliations:
Chinese Academy of Sciences;Harbin Institute of Technology;Chinese Academy of Sciences and Harbin Institute of Technology;Chinese Academy of Sciences
Venue:
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Year:
2004

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Abstract

This paper reports an investigation on adult images detection based on the shape features of skin regions. In order to accurately detect skin regions, we propose a skin detection method using multi-Bayes classifiers in the paper. Based on skin color detection results, shape features are extracted and fed into a boosted classifier to decide whether or not the skin regions represent a nude. We evaluate adult image detection performance using different boosted classifiers and different shape descriptors. Experimental results show that classification using boosted C4.5 classifier and combination of different shape descriptors outperforms other classification schemes.