1 February 1985 Coherent Optical Pattern Recognition: A Review
David Casasent
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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.
David Casasent "Coherent Optical Pattern Recognition: A Review," Optical Engineering 24(1), 240126 (1 February 1985). https://doi.org/10.1117/12.7973421
Published: 1 February 1985
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Cited by 36 scholarly publications.
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KEYWORDS
Optical pattern recognition

Distortion invariant pattern recognition

Detection and tracking algorithms

Optical correlators

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