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Proceedings Paper

Hybrid Optical-Digital Image Processing System For Pattern Recognition
Author(s): F. Merkle
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Paper Abstract

The coherent optical filtering techniques provide a general concept for the classification of patterns. This paper describes the design and testing of a hybrid optical-digital image processing system and the development of methods for a statistical expansion of the correlation signals. A conventional correlation signal intensity measurement is in most of the applications not sufficient. Six different algorithms for correlation signal evaluation are investigated. A feature reduction is achieved by multivariate analysis. For alpha-numeric patterns distored by binary random noise, rotation, scaling and shearing high classification results have been optained.

Paper Details

Date Published: 15 April 1983
PDF: 6 pages
Proc. SPIE 0422, 10th Intl Optical Computing Conf, (15 April 1983); doi: 10.1117/12.936145
Show Author Affiliations
F. Merkle, University of Heidelberg (F.R. Germany)

Published in SPIE Proceedings Vol. 0422:
10th Intl Optical Computing Conf
Sam Horvitz, Editor(s)

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