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An approach to face detection in color images

MA Zhi-qiang,CHANG Fa-liang,TIAN Wei,ZHAO Yao   

  1. School of Control Science and Engineering,Shandong University,Jinan 250061,China
  • Received:2007-04-01 Revised:1900-01-01 Online:2007-08-24 Published:2007-08-24
  • Contact: MA Zhi-qiang

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Abstract: A new face detection approach in color images is given by combining skin color detection, eye location and SVM based face verification. First, images are segmented by a fuzzy C means clustering algorithm, and are improved by adopting the local characteristics. Color patches are classified as skin patches in terms of the number of skin color pixels. Then, eye luminance maps and chrominance maps are used in skin patches. Face candidates will consequently be obtained. Finally, face candidates are tested by trained SVM.

Key words: fuzzy clustering, image segmentation, support vector machines , face detection

CLC Number: 

  • TP391
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