22 March 1996 Eye identification for face recognition with neural networks
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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