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Window repositioning for Printed Arabic Recognition

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Window repositioning for Printed Arabic Recognition

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dc.contributor.author Alkhoury, Ihab es_ES
dc.contributor.author Giménez Pastor, Adrián es_ES
dc.contributor.author Juan, Alfons es_ES
dc.contributor.author Andrés Ferrer, Jesús es_ES
dc.date.accessioned 2015-10-06T12:21:38Z
dc.date.available 2015-10-06T12:21:38Z
dc.date.issued 2015
dc.identifier.issn 0167-8655
dc.identifier.uri http://hdl.handle.net/10251/55613
dc.description.abstract [EN] Bernoulli HMMs are conventional HMMs in which the emission probabilities are modeled with Bernoulli mixtures. They have recently been applied, with good results, in off-line text recognition in many languages, in particular, Arabic. A key idea that has proven to be very effective in this application of Bernoulli HMMs is the use of a sliding window of adequate width for feature extraction. This idea has allowed us to obtain very competitive results in the recognition of both Arabic handwriting and printed text. Indeed, a system based on it ranked first at the ICDAR 2011 Arabic recognition competition on the Arabic Printed Text Image (APTI) database. More recently, this idea has been refined by using repositioning techniques for extracted windows, leading to further improvements in Arabic handwriting recognition. In the case of printed text, this refinement led to an improved system which ranked second at the ICDAR 2013 second competition on APTI, only at a marginal distance from the best system. In this work, we describe the development of this improved system. Following evaluation protocols similar to those of the competitions on APTI, exhaustive experiments are detailed from which state-of-the-art results are obtained. es_ES
dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ICT-287755) under grant agreement no. 287755. The research is also supported by the Spanish Government (Plan E, iTrans2 TIN2009-14511 and AECID 2011/2012 grant). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MICINN/TIN2009-14511 es_ES
dc.relation AECID/2011/2012 es_ES
dc.relation.ispartof Pattern Recognition Letters es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bernoulli HMMs es_ES
dc.subject Printed Arabic Recognition es_ES
dc.subject Sliding Window es_ES
dc.subject Repositioning es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Window repositioning for Printed Arabic Recognition es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.patrec.2014.08.009
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287755 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Alkhoury, I.; Giménez Pastor, A.; Juan, A.; Andrés Ferrer, J. (2015). Window repositioning for Printed Arabic Recognition. Pattern Recognition Letters. 51:86-93. doi:10.1016/j.patrec.2014.08.009 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.patrec.2014.08.009 es_ES
dc.description.upvformatpinicio 86 es_ES
dc.description.upvformatpfin 93 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.relation.senia 271787 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación (MICINN)
dc.contributor.funder Agencia Española de Cooperación Internacional para el Desarrollo (AECID)


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