Face recognition using a neural network simulating olfactory systems

  • Authors:
  • Guang Li;Jin Zhang;You Wang;Walter J. Freeman

  • Affiliations:
  • National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China;Department of Biomedical Engineering, Zhejiang University, Hangzhou, China;Department of Biomedical Engineering, Zhejiang University, Hangzhou, China;Division of Neurobiology, University of California at Berkeley, Berkeley, CA

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
  • Year:
  • 2006

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Abstract

A novel chaotic neural network K-set has been constructed based in research on biological olfactory systems. This non-convergent neural network simulates the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an application to human face recognition, with comparisons of performance with conventional pattern recognition algorithms.