Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Face Recognition Using Fuzzy Fusion and Wavelet Decomposition Method

  • Kwak, Keun-Chang (Dept. of Electrical and Computer Engineering, Chungbuk National University) ;
  • Min, Jun-Oh (Dept. of Electrical and Computer Engineering, Chungbuk National University) ;
  • Chun, Myung-Geun (Dept. of Electrical and Computer Engineering, Chungbuk National University) ;
  • Witold Pedrycz (Dept. of Electrical and Computer Engineering, University of Alberta)
  • Published : 2003.09.01
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Abstract

In this study, we develop a method for recognizing face images by combining wavelet decomposition, fisherface method, and fuzzy integral. The proposed approach comprises of four main stages. The first stage uses the wavelet decomposition. As a result of this decomposition, we obtain four subimages. The second stage of the approach applies a fisherface method to these four subimage sets. The two last phases are concerned with the generation of the degree of fuzzy membership and the aggregation of the individual classifiers by means of the fuzzy integral. The experimental results obtained for the CNU and Yale face databases reveal that the approach presented in this study yields better classification performance in comparison to the results produced by other classifiers.

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