A fuzzy classification based system for handwritten character recognition

Author

Frosini, Graziano ; Lazzerini, Beatrice ; Maggiore, Adriana ; Marcelloni, Francesco

Author_Institution

Pisa Univ., Italy

Volume

3

fYear

1998

fDate

21-23 Apr 1998

Firstpage

61

Abstract

Presents a fuzzy method for classification and recognition of separated handwritten characters. Linguistic expressions describing the individual characters are derived from a fuzzy model of a set of character samples. A small scale application of the method in which 26 lower-case cursive characters written by 30 different writers were analysed yielded 64% recognition rate. The method was also used to implement a character recogniser in a system for off-line recognition of cursive handwriting. In such a context, thanks to the use of a dictionary and a grammar parser, the recognition rate (at character level) rose to 96%

Keywords

fuzzy set theory; grammars; handwritten character recognition; pattern classification; fuzzy classification based system; handwritten character recognition; linguistic expressions; lower-case cursive characters; off-line recognition; separated handwritten characters; Background noise; Character generation; Character recognition; Dictionaries; Documentation; Fuzzy sets; Fuzzy systems; Handwriting recognition; Shape measurement; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-4316-6

Type

conf

DOI

10.1109/KES.1998.725954

Filename

725954