Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Facial Feature Extraction by using a Genetic Algorithm

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  • Kim, Sang-Kyoon (Dept. of Electronics Engineering, Mokpo National Univ.) ;
  • Oh, Seung-Ha (Dept. of Electronics Engineering, Mokpo National Univ.) ;
  • Lee, Myoung-Eun (Dept. of Electronics Engineering, Mokpo National Univ.) ;
  • Park, Soon-Young (Dept. of Electronics Engineering, Mokpo National Univ.)
  • 김상균 (목포대학교 전자공학과) ;
  • 오승하 (목포대학교 전자공학과) ;
  • 이명은 (목포대학교 전자공학과) ;
  • 박순영 (목포대학교 전자공학과)
  • Published : 1999.06.01
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Abstract

In this paper we propose a facial feature extraction method by using a genetic algorithm. The method uses a facial feature template to model the location of eyes and a mouth, and genetic algorithm is employed to find the optimal solution from the fitness function consisting of invariant moments. The simulation results show that the proposed algorithm can effectively extract facial features from face images with variations in position, size, rotation and expression.

Keywords