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.


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    Title :

    A low cost compact optoelectronics neural networks for face recognition


    Contributors:
    Javidi, B. (author)

    Published in:

    Proceedings of LEOS'94 ; 1 ; 8-9 vol.1


    Publication date :

    1994-01-01


    Size :

    174950 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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