Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals

摘要

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.!9