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Optical Engineering

Coherent Optical Pattern Recognition: A Review
Author(s): David Casasent
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Paper Abstract

Recent progress in coherent optical pattern recognition is reviewed. Emphasis is given to techniques for multiclass distortion-invariant pattern recognition. Real-time and practical architectures and algorithms are described, and recent results on extensive data bases are noted. Feature-extraction and correlation architectures are chosen as the two major approaches. The feature-extraction techniques considered include Fourier coefficients, chord distributions, and moments. The correlator approaches emphasize the use of synthetic discriminant functions to achieve multiclass distortion-invariant pattern recognition.

Paper Details

Date Published: 1 February 1985
PDF: 7 pages
Opt. Eng. 24(1) doi: 10.1117/12.7973421
Published in: Optical Engineering Volume 24, Issue 1
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)


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