Recognition of Unconstrained Handwritten Words Using Markov Random Fields and HMMs

George Saon 1 Abdel Belaïd 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a system for recognition of handwritten words on literal check amounts which advantageously combines HMMs and Markov random fields (MRFs). It operates, in a holistic manner, at pixel level on height normalised word images which are viewed as random field realizations. The HMM analyses the image along the horizontal writing direction, in a specific state observation probability being given by the column product of causal MRF like pixel conditional probabilities.Aspects concerning definition, training and recognition via this type of model and experiments performed are developed throughout the paper.
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Communication dans un congrès
Fifth International Workshop on Frontiers in Handwriting Recognition - IWFHR 1996, Sep 1996, Colchester, United Kingdom. pp.429-432, 1996
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https://hal.inria.fr/inria-00537311
Contributeur : Abdel Belaid <>
Soumis le : jeudi 18 novembre 2010 - 10:48:15
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

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  • HAL Id : inria-00537311, version 1

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George Saon, Abdel Belaïd. Recognition of Unconstrained Handwritten Words Using Markov Random Fields and HMMs. Fifth International Workshop on Frontiers in Handwriting Recognition - IWFHR 1996, Sep 1996, Colchester, United Kingdom. pp.429-432, 1996. 〈inria-00537311〉

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