J4 ›› 2012, Vol. 50 ›› Issue (02): 293-298.

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A Face Recognition Method Based on FuzzyClustering Analysis and Multifeature Fusion

GAO Lu, LI Wenhui, WANG Ying   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2011-01-23 Online:2012-03-26 Published:2012-03-21
  • Contact: LI Wenhui E-mail:liwh@jlu.edu.cn

Abstract:

A method of using fuzzy clustering analysis to combine linear subspace features and Gabor features to recognize faces was proposed. Firstly it analyzes the distribution of sample database in linear space. Then it uses Gabor features to recognize faces that locate in boundary of different cluster centers. Experimental results show the presented method has high recognition rate, meanwhile it reduces average recognition time.

Key words: computer application; face recognition; feature fusion; linear subspace; fuzzy clustering analysis; Gabor wavelet

CLC Number: 

  • TP391