ABSTRACT Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents C-Cube (Cursive Character Challenge), a new public-domain cursive character database. CCube contains 57293 cursive characters manually extracted from cursive handwritten words, including both upper and lower case versions of each letter. The database can be downoloaded from the web and it provides predefined experimental protocols in order to compare rigorously the results obtained by different researchers.

Offline Cursive Character Challange: A New Benchmark for Machine Learning and Pattern Recognition Algorithms

CAMASTRA, Francesco
;
2006

Abstract

ABSTRACT Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents C-Cube (Cursive Character Challenge), a new public-domain cursive character database. CCube contains 57293 cursive characters manually extracted from cursive handwritten words, including both upper and lower case versions of each letter. The database can be downoloaded from the web and it provides predefined experimental protocols in order to compare rigorously the results obtained by different researchers.
0-7695-2521-0
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/20882
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