Title :
Fuzzy classification of handwritten characters
Author :
Lazzerini, Beatrice ; Marcelloni, Francesco
Author_Institution :
Dipt. di Ingegneria della Inf., Pisa Univ., Italy
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;
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
DOI :
10.1109/NAFIPS.1999.781757
