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Complex cell prototype representation for face recognition

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2 Author(s)
L. Prssoa ; Dept. of Comput. & Syst. Sci., Fed.. Univ. of Rio de Janeiro, Brazil ; A. P. Leitao

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

Published in:

IEEE Transactions on Neural Networks  (Volume:10 ,  Issue: 6 )