Paper
12 January 1993 Fabrication of a character recognition system by a multiplexed matched spatial filter by feature-extracted patterns
Shun-ichi Kamemaru, Jun-ichi Yano
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Abstract
In a conventional pattern recognition system with a matched spatial filter (MSF), the system is based on a template matching which is the comparison of the test pattern with a number of stored patterns until an exact match is found. Therefore, sometimes, the system has not been able to distinguish some similar patterns. In this paper, we propose to apply a concept of feature extraction to matched spatial filtering to improve performance of the MSF for distinction of some closely similar patterns. The synthesis of the MSF with partial patterns of unknown input objects to be recognized enables filtering operation to extract desired features from some input patterns. Using this technique and a hybrid pattern recognition system with the MSF synthesized by nine feature extracted patterns, we could perfectly recognize a page of unknown 25 alphabets. The recognition result was given not by conventional peaks but by character symbols on a CRT display.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shun-ichi Kamemaru and Jun-ichi Yano "Fabrication of a character recognition system by a multiplexed matched spatial filter by feature-extracted patterns", Proc. SPIE 1772, Optical Information Processing Systems and Architectures IV, (12 January 1993); https://doi.org/10.1117/12.140904
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Cited by 2 scholarly publications.
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KEYWORDS
Spatial filters

Feature extraction

Digital signal processing

Multiplexing

Pattern recognition

Optical character recognition

Optical filters

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