Personalization of an Online Handwriting Recognition System

Patrick Haluptzok 1 Michael Revow 1 Ahmad Abdulkader 1
1 Microsoft Corporation [Redmond]
Abstract : This paper proposes and compares some approaches for personalizing a handwriting recognizer to a specific user's handwriting style. A typical PocketPC or TabletPC is used by one person exclusively. The handwriting recognizer on such a device can customize its recognition to the specific writing style of the user. This paper presents the results of different personalization approaches for a neural network based classifier, showing how using data specific to the user can dramatically improve recognition accuracy.
Keywords : Personalization Handwriting Recognition Neural Network
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Dernière modification le : jeudi 5 octobre 2006 - 11:32:14
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Patrick Haluptzok, Michael Revow, Ahmad Abdulkader. Personalization of an Online Handwriting Recognition System. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00103749〉

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