In this paper we present EYE, a fuzzy logic-based classifier for off-line 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.
Fuzzy classification of handwritten characters
LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO
1999-01-01
Abstract
In this paper we present EYE, a fuzzy logic-based classifier for off-line 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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.