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

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.
Lazzerini, Beatrice; Marcelloni, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/200340
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