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1 November 1991 Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals
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Abstract
In this paper, a hybrid pattern recognition system is described that is based on a matched spatial filter (MSF) synthesized by feature-extracted reference patterns. Some features are extracted from test objects by computer simulations to find the optimum reference patterns for the filter. Through more than 30 simulations, four best patterns are chosen for recognition of 10 kinds of digits by the MSF. In the system, recognition is performed not by conventional autocorrelation peaks but by cross correlation signals because reference patterns for the filter are not exactly the same as the input unknown. The proposed system shows good feasibility for feature extracted pattern recognition.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shun-ichi Kamemaru, Jun-ichi Yano, and Hiroyasu Itoh "Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals", Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); https://doi.org/10.1117/12.49705
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