22 March 1996 Eye identification for face recognition with neural networks
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Abstract
The problem of facial recognition from grey-scale video images is approached using a two- stage neural network implemented in software. The first net finds the eyes of a person and the second neural network uses an images of the area around the eyes to identify the person. In a second approach the first network is implemented in hardware using the IBM ZISC036 RBF- chip to increase processing speed. Other implementations in hardware are also discussed, and includes preprocessing using wavelet (packet) transforms.
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Age J. Eide, Age J. Eide, Christer Jahren, Christer Jahren, Stig Jorgensen, Stig Jorgensen, Thomas Lindblad, Thomas Lindblad, Clark S. Lindsey, Clark S. Lindsey, Kare Osterud, Kare Osterud, } "Eye identification for face recognition with neural networks", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235925; https://doi.org/10.1117/12.235925
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