Naked image detection based on adaptive and extensible skin color model

Authors:
Jiann-Shu Lee;Yung-Ming Kuo;Pau-Choo Chung;E-Liang Chen
Affiliations:
Department of Information and Learning Technology, National University of Tainan, 33, , Shu-Lin St. Tainan 700, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Taiwan;Department of Computer Science and Information Engineering, Leader University, Taiwan
Venue:
Pattern Recognition
Year:
2007

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Abstract

The paper presents a new naked image detection algorithm. A learning-based chromatic distribution-matching scheme is proposed to determine the image's skin chroma distribution online such that it can tolerate the chromatic deviation coming from special lighting without increasing false alarm. The texture feature, namely coarseness, is used to acquire accurate skin segmentation. The low-level but reliable geometrical constraints and the mug shot exclusion procedure are employed to further examine the skin regions. Experimental results show our method can achieve satisfactory performance for detecting naked images under special lighting conditions.