Naked image detection based on adaptive and extensible skin color model

Jiann Shu Lee, Yung Ming Kuo, Pau Choo Chung, E. Liang Chen

Research output: Contribution to journalArticlepeer-review

139 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2261-2270
Number of pages10
JournalPattern Recognition
Issue number8
Publication statusPublished - 2007 Aug 1

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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