Machine-printed character recognition revisited: re-application of recent advances in handwritten character recognition research
Identifieur interne : 002119 ( Main/Exploration ); précédent : 002118; suivant : 002120Machine-printed character recognition revisited: re-application of recent advances in handwritten character recognition research
Auteurs : A. F. R. Rahman [Royaume-Uni] ; M. C. Fairhurst [Royaume-Uni]Source :
- Image and Vision Computing [ 0262-8856 ] ; 1997.
Abstract
The increasing automation of document processing applications has emphasised the need for robust and reliable recognition of machine-printed characters. Although research in character recognition is now focused principally on applications in reading handwritten characters, this paper demonstrates how recent progress in the area of multiple-expert classification can be exploited to provide new approaches to the processing of printed data. Established classification algorithms have been used in a new multiple-expert framework to generate an optimised decision combination platform comprising multiple experts, and significant improvements in overall recognition performance on machine-printed characters have been achieved.
Url:
DOI: 10.1016/S0262-8856(98)00056-0
Affiliations:
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