Complex cell prototype representation for face recognition

  • Authors:
  • L. Prssoa;A. P. Leitao

  • Affiliations:
  • Dept. of Comput. & Syst. Sci., Fed.. Univ. of Rio de Janeiro;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1999

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Abstract

We propose a face recognition system based on a biologically inspired filtering method. Our work differs from previous proposals in: 1) the multistage filtering method employed; 2) the pyramid structure used, and most importantly; 3) the prototype construction scheme to determine the models stored in memory. The method is much simpler than previous proposals and relatively inexpensive computationally, while attaining error rates as low as 5%, very close to the best reported results