Face and Facial Component Detection by Using Image Characteristic

نویسندگان

  • JIN-TAE KIM
  • DONG-WOOK KIM
  • JIEKWAN KIM
  • HANKYU LIM
  • HO-KEUN SONG
چکیده

This paper proposes an algorithm of a face and facial component detection for face recognition. For efficient extraction using image processing, we analyze and improve detecting facial components that are the basis of an image characteristic. The proposed algorithm includes face region detection without the effect of skin color hairs, eye region detection with weighted template matching, eyebrow region detection using a modified histogram, and mouth region detection using skin characteristics. Key-Words: face recognition, characteristic, template matching, skin color, modified histogram

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تاریخ انتشار 2005