In this paper we present LoaFeR, a novel linguistic fuzzy recogniser of off-line isolated handwritten characters. LoaFeR describes the shape of each character by linguistic expressions derived from a fuzzy partition of the character image. A purposely-defined weighted distance is used to compare the linguistic descriptions. A small scale application of LoaFeR, in which 26 lower-case cursive characters written by 60 and 40 different writers were used as training and test sets, respectively, yielded 69.5% recognition rate.
A linguistic fuzzy recogniser of off-line handwritten characters
LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO
2000-01-01
Abstract
In this paper we present LoaFeR, a novel linguistic fuzzy recogniser of off-line isolated handwritten characters. LoaFeR describes the shape of each character by linguistic expressions derived from a fuzzy partition of the character image. A purposely-defined weighted distance is used to compare the linguistic descriptions. A small scale application of LoaFeR, in which 26 lower-case cursive characters written by 60 and 40 different writers were used as training and test sets, respectively, yielded 69.5% recognition rate.File in questo prodotto:
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