Computer and Modernization ›› 2012, Vol. 1 ›› Issue (200): 179-04.doi: 10.3969/j.issn.1006-2475.2012.04.049

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Research on Human Face Detection Based on Improved YCbCr Skin Color Model and Area Character

QIU Peng-rui   

  1. Kunming Metallurgy College, Kunming 650033, China
  • Received:2012-03-05 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

Abstract: In accordance with the current study situation and difficult problem of human face detection, the paper adopts improved YCbCr elliptic clustering skin color model to extract color zone from the skin. According to the distribution of the YCb’Cr’, if the color brightness less than 80 pixel of color will be a miscarriage, it narrows the ellipse clustering; if greater than 230 complexion pixel of color will be a miscarriage also, it expands the ellipse clustering. It can avoid wrong judgment about skin color spot between high brightness zone and lower brightness zone effectively. And then taking advantage of the geometric characteristic of human face, it analyzes the objective zone with proportion and size in the binary picture to get rid of the impossible human face.

Key words: face detection, skin color model, area character