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Proceedings Paper

Eye identification for face recognition with neural networks
Author(s): Age J. Eide; Christer Jahren; Stig Jorgensen; Thomas Lindblad; Clark S. Lindsey; Kare Osterud
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Paper 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.

Paper Details

Date Published: 22 March 1996
PDF: 6 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235925
Show Author Affiliations
Age J. Eide, Ostfold College (Norway)
Christer Jahren, Ostfold College (Norway)
Stig Jorgensen, Ostfold College (Norway)
Thomas Lindblad, Royal Institute of Technology (Sweden)
Clark S. Lindsey, Royal Institute of Technology (Sweden)
Kare Osterud, Ostfold College (Norway)


Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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