DocumentCode
2275086
Title
Applications of fuzzy set theory to handwriting recognition
Author
Gader, Paul D. ; Keller, James M.
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
910
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
Keywords
character recognition; dynamic programming; fuzzy logic; fuzzy set theory; handwriting recognition; dynamic programming; fuzzy integral; fuzzy k-nearest neighbor algorithm; fuzzy logic; fuzzy set theory; handwriting recognition; handwritten character recognition; handwritten street number recognition; Algorithm design and analysis; Application software; Character recognition; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Handwriting recognition; Neural networks; Pattern recognition; Postal services;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343856
Filename
343856
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