Face Recognition Using a Neural Network Simulating Olfactory Systems

  • Guang Li
  • Jin Zhang
  • You Wang
  • Walter J. Freeman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


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.


Feature Vector Face Recognition Face Image Wavelet Packet Olfactory System 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guang Li
    • 1
  • Jin Zhang
    • 2
    • 3
  • You Wang
    • 2
  • Walter J. Freeman
    • 4
  1. 1.National Laboratory of Industrial Control TechnologyZhejiang UniversityHangzhouChina
  2. 2.Department of Biomedical EngineeringZhejiang UniversityHangzhouChina
  3. 3.Software CollegeHuman UniversityChangshaChina
  4. 4.Division of NeurobiologyUniversity of California at BerkeleyBerkeleyUSA

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