Abstract
A regional decomposition method is proposed to facilitate pattern analysis and recognition. It splits a complicated pattern into several simple parts or sub-patterns, so that the pattern can be identified by examining the distinct parts. A complexity analysis is derived in this paper to prove the effectiveness of the regional decomposition method; mathematical and statistical formulas are also provided to evaluate the recognition rates of different parts. For a sample of 36 alphanumeric characters handprinted in 89 most common styles, the total mean recognition rates of parts have been found to be 30% higher than those obtained from subjective experiments.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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