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Automatic face recognition system using neural networks

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3 Author(s)
El-Bakry, H.M. ; Fac. of Comput. Sci. & Inf. Syst., Mansoura Univ., Egypt ; Abo-Elsoud, M.A. ; Kamel, M.S.

Automatic recognition of individuals is a significant problem in the development of pattern recognition. In this paper, we introduce a simple technique for personal identification through human faces in cluttered scenes based on neural nets. In the detection phase, neural nets are used to test whether a window of 20×20 pixels contains a face or not. A major difficulty in learning process comes from the large database required for face/nonface images. We solve this problem by dividing these data into two groups. Such division results in a reduction of computational complexity and thus decreasing the time and memory needed during the test of an image. For the recognition phase, feature measurements are made through Fourier descriptors. Such a feature is modified to reduce the number of neurons in the hidden layer. Simulation results for the proposed algorithm show a good performance compared with previous results

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Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on  (Volume:3 )

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