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Conference papers
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.
Cited literature [4 references]
https://hal.inria.fr/inria-00103749
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
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