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What Knowledge about Handwritten Letters can be Used to Recover their Drawing Order ?

Laëtitia Rousseau 1 Jean Camillerapp 1 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 : A way to do off-line handwriting recognition is to generate an equivalent on-line signal of a letter image and to use an on-line recognition system to recognize this letter. To do this, the drawing order has to be recovered using handwriting knowledge. Our approach to recover the drawing order consists in proposing several starting and ending points. Several paths are generated and the best one is chosen. This paper presents the handwriting knowledge introduced at several steps of our method and its contribution for the recognition process. Experimentations have been carried out on isolated lower case multistroke letters from a database including both on-line and off-line signals. An on-line system has been used to recognize these letters.
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Submitted on : Friday, October 6, 2006 - 1:56:37 PM
Last modification on : Thursday, February 7, 2019 - 2:36:11 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:49:58 PM


  • HAL Id : inria-00104373, version 1


Laëtitia Rousseau, Jean Camillerapp, Eric Anquetil. What Knowledge about Handwritten Letters can be Used to Recover their Drawing Order ?. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104373⟩



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