Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Intelligent and Robust Face Detection

  • Park, Min-sick (ICS Lab., Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Chang-woo (ICS Lab., Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Kim, Won-ha (Devision of Electrical and Electronic Engineering, Myongji University) ;
  • Park, Mignon (ICS Lab., Dept. of Electrical and Electronic Engineering, Yonsei University)
  • Published : 2001.12.01
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Abstract

A face detection in color images is important for many multimedia applications. It is first step for face recognition and can be used for classifying specific shorts. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.

Keywords

References

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