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Proceedings Paper

Fusion study on optical correlation pattern recognition and neural networks
Author(s): YanXin Zhang
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Paper Abstract

From the view point of neural networks (NNs) the present problems of optical correlation pattern recognition (OCPR) are analyzed. It is shown that distortion invariant pattern recognition (DIPR) can not be performed with a single filter within the framework of OCPR. By means of fusion between OCPR and NNs some solutions to an effective optical DIPR are proposed.

Paper Details

Date Published: 19 July 1999
PDF: 2 pages
Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); doi: 10.1117/12.354733
Show Author Affiliations
YanXin Zhang, Nankai Univ. (China)

Published in SPIE Proceedings Vol. 3749:
18th Congress of the International Commission for Optics
Alexander J. Glass; Joseph W. Goodman; Milton Chang; Arthur H. Guenther; Toshimitsu Asakura, Editor(s)

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