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Arabic Printed Word Recognition Using Windowed Bernoulli HMMs

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Alkhoury, I.; Giménez Pastor, A.; Juan Císcar, A.; Andrés Ferrer, J. (2013). Arabic Printed Word Recognition Using Windowed Bernoulli HMMs. Lecture Notes in Computer Science. 8156:330-339. https://doi.org/10.1007/978-3-642-41181-6_34

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50011

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Title: Arabic Printed Word Recognition Using Windowed Bernoulli HMMs
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Hidden Markov Models (HMMs) are now widely used for off-line text recognition in many languages and, in particular, Arabic. In previous work, we proposed to directly use columns of raw, binary image pixels, which are ...[+]
Subjects: Bernoulli HMMs , APTI , Arabic Printed Recognition , Sliding Window , Repositioning
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-41180-9
Source:
Lecture Notes in Computer Science. (issn: 0302-9743 ) (eissn: 1611-3349 )
DOI: 10.1007/978-3-642-41181-6_34
Publisher:
Springer Verlag
Publisher version: http://dx.doi.org/10.1007/978-3-642-41181-6_34
Project ID: info:eu-repo/grantAgreement/EC/FP7/287755
Thanks:
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 287755. Also supported by the Spanish Government (Plan E, iTrans2 ...[+]
Type: Artículo

References

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Dehghan, M., et al.: Handwritten Farsi (Arabic) word recognition: a holistic approach using discrete HMM. Pattern Recognition 34(5), 1057–1065 (2001), http://www.sciencedirect.com/science/article/pii/S0031320300000510

Giménez, A., Juan, A.: Embedded Bernoulli Mixture HMMs for Handwritten Word Recognition. In: ICDAR 2009, Barcelona, Spain, pp. 896–900 (July 2009)

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