Eye identification for face recognition with neural networks
Age J. Eide, Christer Jahren, Stig W. Jørgensen, Thomas Lindblad, Clark S. Lindsey, Kare Osterud · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.