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:
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