An efficient face detection method using skin-color discovering and chain code

  • Authors:

  • Kevin I-J. Ho;Tung-Shou Chen;Chun-Yin Cheug

  • Affiliations:

  • Dept. of Medical Imaging Technology, Chung Shah Medical University;Dept. of Information Management National, Taichung Institute of Technology, Taiwan, R.O.C.;Dept. of Information Management National, Taichung Institute of Technology, Taiwan, R.O.C.

  • Venue:
  • Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
  • Year:
  • 2002

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Abstract

In this paper, we propose a method to locate human faces in color images. For color images, the skin color is an important key feature for human face detection. Thus, this paper applies skin color information to segmented human face areas: First, we reduce the size of the color image, hold its ratio, and detect skin color pixels in the resized image based on the properties of skin color. Next, our method employs the detected pixels and chain code to locate continuous areas. Finally, we check the width and the height of each located area, and filter out the non-facial ones. The remaining areas are the human face regions. To fully explore the efficiency and effectiveness of the proposed method, we conduct a lot of experiments on the test images used in other papers. The experimental results show that both the false positive and false negative rates are either equal to or better than those obtained in previous research results. Moreover, in most of experiments, the processing time of our method is shorter.