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Reconnaissance en-ligne d'écriture manuscrite.

Eric Anquetil 1
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : In this paper, we draw a panorama of research on the handwriting recognition, from the recognition of isolated letters to the recognition of handwritten sentences. Without going into detail on the most advanced approaches, we present the issues and principles related to recognition of handwriting by doing many references that allow the reader to deepen the discussed concepts. We review the main elements of a recognition system: preprocessing, segmentation, modeling, learning, recognition, integration of language model... The main approaches are presented by focusing more specifically on online handwriting recognition. On-line handwriting recognition is related to new devices based on touch screens or interactive pen display: Tablet PC, Smartphone or Interactive Whiteboards.
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Contributor : Eric Anquetil Connect in order to contact the contributor
Submitted on : Friday, February 18, 2011 - 11:25:59 AM
Last modification on : Thursday, January 7, 2021 - 4:22:19 PM


  • HAL Id : hal-00567110, version 1


Eric Anquetil. Reconnaissance en-ligne d'écriture manuscrite.. Techniques de l'Ingenieur, Techniques de l'ingénieur, 2010, pp.1-24. ⟨hal-00567110⟩



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