Summary form only given. In this paper, we describe a nonlinear filter based optoelectronics neural networks associated with a supervised perceptron learning algorithm for real-time face recognition. The system is a two-layer neural networks. The first layer is implemented using a nonlinear joint transform correlator (JTC)34 and the second layer is implemented electronically because of the small number of the hidden layer neurons. The system is trained with a sequence of input facial images and is able to classify an input face in real-time.
A low cost compact optoelectronics neural networks for face recognition
Proceedings of LEOS'94 ; 1 ; 8-9 vol.1
1994-01-01
174950 byte
Conference paper
Electronic Resource
English
Low Cost Compact Optoelectronics Neural Networks for Face Recognition
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