Universal pattern recognition by matched filters synthesized by primitive patterns and by the algorithm for uniquely selecting the optimum reference patterns

Shun-ichi Kamemaru; Kiyotaka Tanaka; Masayasu Nakazawa

doi:10.1117/12.217661

28 August 1995 Universal pattern recognition by matched filters synthesized by primitive patterns and by the algorithm for uniquely selecting the optimum reference patterns

Shun-ichi Kamemaru, Kiyotaka Tanaka, Masayasu Nakazawa

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Proceedings Volume 2565, Optical Implementation of Information Processing; (1995) https://doi.org/10.1117/12.217661
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

In most pattern recognition systems, many target patterns should be recognized at one time by fewer reference patterns when the system uses a matched spatial filter. In this paper, two approaches are described for reducing the number of reference patterns in matched spatial filtering called universal pattern recognition which means a recognition technique of various shapes of patterns not depending on a target shapes. One approach is based on very simple bar patterns for the reference object for a matched filter according to a concept that every pattern or symbol is synthesized by many line components with various directions. By also using correlation diagrams with such reference patterns, 26 English alphabets were fairly recognized. Another technique is based on the algorithm to find automatically the unique and proper reference patterns of the matched spatial filter for recognition of the desired target sets. By the algorithm, unique and minimum numbers of reference patterns are selected and 26 English alphabets and 10 digits were recognized.

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Shun-ichi Kamemaru, Kiyotaka Tanaka, and Masayasu Nakazawa "Universal pattern recognition by matched filters synthesized by primitive patterns and by the algorithm for uniquely selecting the optimum reference patterns", Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); https://doi.org/10.1117/12.217661

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KEYWORDS

Detection and tracking algorithms

Pattern recognition

Spatial filters

Target recognition

Digital signal processing

Optical filters

Feature extraction

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