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Personalization of an Online Handwriting Recognition System

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.
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Contributor : Anne Jaigu <>
Submitted on : Thursday, October 5, 2006 - 11:25:57 AM
Last modification on : Thursday, October 5, 2006 - 11:32:14 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:22:36 PM


  • HAL Id : inria-00103749, version 1



Patrick Haluptzok, Michael Revow, Ahmad Abdulkader. Personalization of an Online Handwriting Recognition System. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00103749⟩



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