Integration of Contextual Information in Handwriting Recognition Systems

Authors:
F. Grandidier;R. Sabourin;C. Y. Suen
Affiliations:
-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Year:
2003

Citing 4
Cited 3

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Abstract

This paper investigates different strategies allowing integrationof contextual information during the feature extractionstage of a cursive handwriting HMM-based recognitionsystem. First we propose to use linear discriminant analysis(LDA) in order to integrate the class information duringfeature set building. Secondly several zoning strategies areused to integrate local contextual information. Finally, aweighting technique is proposed in association with zoningwith the aim of integrating handwriting style. Some experimentswere carried out and the results show the interest ofthe proposed strategies.