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Proceedings Paper

Hybrid Optical-Digital Image Processing System For Pattern Recognition
Author(s): F. Merkle; T. Lorch; T. Karte; J. Donandt
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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 signal shape because a simple correlation signal intensity measurement is in most of the applications insufficient. Six different algorithms for correlation signal evaluation are investigated. A feature reduction is achieved by a multivariate analysis. For alpha-numeric patterns modified by binary random noise, rotation, scaling and shearing high classification results have been obtained.

Paper Details

Date Published: 16 June 1983
PDF: 9 pages
Proc. SPIE 0369, Max Born Centenary Conf, (16 June 1983); doi: 10.1117/12.934407
Show Author Affiliations
F. Merkle, University of Heidelberg (Germany)
T. Lorch, University of Heidelberg (Germany)
T. Karte, University of Heidelberg (Germany)
J. Donandt, University of Heidelberg (Germany)

Published in SPIE Proceedings Vol. 0369:
Max Born Centenary Conf
M. John Colles; D. William Swift, Editor(s)

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