Abstract
A survey of applications of fuzzy set theory to handwriting recognition is given. Three specific applications are described: 1) the fuzzy k-nearest neighbor algorithm for handwritten word recognition; 2) the fuzzy logic for handwritten street number location; and 3) the fuzzy integral for handwritten character recognition. New research utilizing fuzzy integrals in dynamic programming based handwritten word recognition is also described. >
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