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Proceedings Paper

Real-time face recognition system with optical learning neural network
Author(s): Toyohiko Yatagai; Yutaka Yagai; Masahiko Mori; Masanobu Watanabe
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Paper Abstract

We describe an optical learning three-layer neural network that uses a back-propagation algorithm for human face recognition. Learning is performed by two-dimensional optical means for handling images without scanning and pixeling, because a face recognition problem needs a large-scale network. The two-dimensional input image is treated directly without vectorizing so that a recognition process of an unknown facial image is executed in real-time. We demonstrate training and recognition of three human faces using an experimental system.

Paper Details

Date Published: 9 October 1998
PDF: 6 pages
Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); doi: 10.1117/12.326785
Show Author Affiliations
Toyohiko Yatagai, Univ. of Tsukuba (Japan)
Yutaka Yagai, Univ. of Tsukuba (Japan)
Masahiko Mori, Electrotechnical Lab. (Japan)
Masanobu Watanabe, Electrotechnical Lab. (Japan)

Published in SPIE Proceedings Vol. 3466:
Algorithms, Devices, and Systems for Optical Information Processing II
Bahram Javidi; Demetri Psaltis, Editor(s)

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