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.
|Autori:||LAZZERINI B.; MARCELLONI F.|
|Titolo:||A linguistic fuzzy recogniser of off-line handwritten characters|
|Anno del prodotto:||2000|
|Digital Object Identifier (DOI):||10.1016/S0167-8655(99)00162-2|
|Appare nelle tipologie:||1.1 Articolo in rivista|