Neural networks-based face recognition using Fourier plane nonlinear filters

Bahram Javidi; Jian Li

doi:10.1117/12.217666

28 August 1995 Neural networks-based face recognition using Fourier plane nonlinear filters

Bahram Javidi, Jian Li

Proceedings Volume 2565, Optical Implementation of Information Processing; (1995) https://doi.org/10.1117/12.217666
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Bahram Javidi and Jian Li "Neural networks-based face recognition using Fourier plane nonlinear filters", Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); https://doi.org/10.1117/12.217666

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