Face recognition using multiple facial features

  • Authors:
  • A. N. Rajagopalan;K. Srinivasa Rao;Y. Anoop Kumar

  • Affiliations:
  • Image Processing and Computer Vision Laboratory, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;Image Processing and Computer Vision Laboratory, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;Image Processing and Computer Vision Laboratory, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2007

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Abstract

We propose a face recognition method that fuses information acquired from global and local features of the face for improving performance. Principle components analysis followed by Fisher analysis is used for dimensionality reduction and construction of individual feature spaces. Recognition is done by probabilistically fusing the confidence weights derived from each feature space. The performance of the method is validated on FERET and AR databases.