N-Gram and N-Class Models for On line Handwriting Recognition

Authors:
Freddy Perraud;Christian Viard-Gaudin;Emmanuel Morin;Pierre-Michel Lallican
Affiliations:
-;-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Year:
2003

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Abstract

This paper highlights the interest of a language modelin increasing the performances of on-line handwritingrecognition systems. Models based on statisticalapproaches, trained on written corpora, have beeninvestigated. Two kinds of models have been studied: n-grammodels and n-class models. In the latter case, theclasses result either from a syntactic criteria or acontextual criteria. In order to integrate it into smallcapacity systems (mobile device), an n-class model hasbeen designed by combining these criteria. It outperformsbulkier models based on n-gram. Integration into an on-linehandwriting recognition system demonstrates asubstantial performance improvement due to the languagemodel.