Fuzzy classification of handwritten characters

Author

Lazzerini, Beatrice ; Marcelloni, Francesco

Author_Institution

Dipt. di Ingegneria della Inf., Pisa Univ., Italy

fYear

1999

fDate

36342

Firstpage

566

Lastpage

570

Abstract

We present EYE, a fuzzy logic-based classifier for offline recognition of isolated handwritten characters. EYE uses a new linguistic classification method based on the linguistic description of the shape of the character. The linguistic terms are derived from a fuzzy partition of the space occupied by the character. EYE classifies characters written by any writer. A small scale application of the method in which 26 lower case cursive characters written by 30 and 20 different writers were used as training and test sets, respectively, yielded 68.2% recognition rate

Keywords

fuzzy logic; fuzzy set theory; handwriting recognition; handwritten character recognition; knowledge based systems; linguistics; pattern classification; EYE; fuzzy classification; fuzzy logic-based classifier; fuzzy partition; handwritten characters; isolated handwritten characters; linguistic classification method; linguistic description; linguistic terms; lower case cursive characters; offline recognition; small scale application; Character generation; Character recognition; Fuzzy logic; Fuzzy sets; Handwriting recognition; Humans; Pattern recognition; Shape; Text recognition; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781757

Filename

781757