InforLorV4, Main, Exploration, bibRecord, 000964

Towards Arabic Handwritten Word Recognition via Probabilistic Graphical Models

Identifieur interne : 000964 ( Main/Exploration ); précédent : 000963; suivant : 000965

Towards Arabic Handwritten Word Recognition via Probabilistic Graphical Models

Auteurs : Akram Khémiri [Tunisie] ; Afef Kacem [Tunisie] ; Abdel Belaïd [France]

Source :

RBID : Hal:hal-01111751

English descriptors

mix :
- Dynamic Bayesian Network, Feature extraction, Pattern recognition, — Hidden Markov Model.

Abstract

—In this work, we propose a novel system for the recognition of handwritten Arabic words. It is evolved based on horizontal-vertical Hidden Markov Model and Dynamic Bayesian Network Model. Our strategy consists of looking for various HMM architectures and selecting those which provide the best recognition performance. Experiments on handwritten Arabic words from IFN/ENIT strongly support the feasibility of the proposed approach. The recognition rates achieve 92.19% with horizontal-vertical Hidden Markov Model and 88.82% with a Dynamic Bayesian Network.

Url:

https://hal.inria.fr/hal-01111751

DOI: 10.1109/ICFHR.2014.119

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Hal, to step Curation: 004E07
to stream Hal, to step Checkpoint: 000901
to stream Main, to step Merge: 000966
to stream Main, to step Curation: 000964

Le document en format XML

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   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
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   |type=    RBID
   |clé=     Hal:hal-01111751
   |texte=   Towards Arabic Handwritten Word Recognition via Probabilistic Graphical Models
}}

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Towards Arabic Handwritten Word Recognition via Probabilistic Graphical Models

Towards Arabic Handwritten Word Recognition via Probabilistic Graphical Models

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri