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Utilisation des processus markoviens en reconnaissance de l'écriture

Abdel Belaïd 1 George Saon 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we describe the use of different types of Markov models in handwriting recognition. Recognition is done by a posteriori pattern probability calculus. This computation implies several terms which, according to the dependency hypotheses akin to the considered application, can be decomposed in elementary conditional probabilities. Under the assumption that the pattern may be modeled as a unior two-dimensional stochastic process (random field) presenting Markovian properties, local maximisations of these probabilities result in maximum pattern likelihood. We have studied throughout the article several cases of subpattern probability conditioning. Each case is accompanied by practical illustrations related to the field of writing recognition.
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https://hal.inria.fr/inria-00537340
Contributor : Abdel Belaid <>
Submitted on : Thursday, November 18, 2010 - 11:58:54 AM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM

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  • HAL Id : inria-00537340, version 1

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Abdel Belaïd, George Saon. Utilisation des processus markoviens en reconnaissance de l'écriture. Traitement du Signal, Lavoisier, 1997, 14 (2), pp.161-177. ⟨inria-00537340⟩

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