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Adult Image Detection Using Skin Color and Multiple Features

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(12), pp.27-35
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jang Seok-Woo 1 HYUNG IL CHOI 2 Gye-young Kim 2

1안양대학교
2숭실대학교

Accredited

ABSTRACT

Extracting skin color is significant in adult image detection. However, conventional methods still have essential problems in extracting skin color. That is, colors of human skins are basically not the same because of individual skin difference or difference races. Moreover, skin regions of images may not have identical color due to makeup, different cameras used, etc. Therefore, most of the existing methods use predefined skin color models. To resolve these problems, in this paper, we propose a new adult image detection method that robustly segments skin areas with an input image-adapted skin color distribution model, and verifies if the segmented skin regions contain naked bodies by fusing several representative features through a neural network scheme. Experimental results show that our method outperforms others through various experiments. We expect that the suggested method will be useful in many applications such as face detection and objectionable image filtering.

Citation status

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