28 August 1995 Neural networks-based face recognition using Fourier plane nonlinear filters
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Abstract
We describe a nonlinear joint transform correlator-based two-layer network that uses a supervised learning algorithm for real-time face recognition. The system is trained with a sequence of facial images and is able to classify an input face image in real-time. Computer simulations and optical experimental results are presented. The processor can be manufactured into a compact low-cost optoelectronic system. The use of the nonlinear joint transform correlator provides good noise robustness and good image discrimination.
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Bahram Javidi, Jian Li, "Neural networks-based face recognition using Fourier plane nonlinear filters", Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); doi: 10.1117/12.217666; https://doi.org/10.1117/12.217666
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