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Applications of fuzzy set theory to handwriting recognition

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2 Author(s)
Gader, P.D. ; Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA ; Keller, J.M.

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

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994

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