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The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

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The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

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dc.contributor.author Romero Gómez, Verónica es_ES
dc.contributor.author Fornés, Alicia es_ES
dc.contributor.author Serrano Martínez-Santos, Nicolás es_ES
dc.contributor.author Sánchez Peiró, Joan Andreu es_ES
dc.contributor.author Toselli ., Alejandro Héctor es_ES
dc.contributor.author Frinken, Volkmar es_ES
dc.contributor.author Vidal, Enrique es_ES
dc.contributor.author Lladós, Josep es_ES
dc.date.accessioned 2014-09-25T17:52:50Z
dc.date.available 2014-09-25T17:52:50Z
dc.date.issued 2013-06
dc.identifier.issn 0031-3203
dc.identifier.uri http://hdl.handle.net/10251/40254
dc.description NOTICE: this is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern RecognitionVolume 46, Issue 6, June 2013, Pages 1658–1669 DOI: 10.1016/j.patcog.2012.11.024 es_ES
dc.description.abstract [EN] Historical records of daily activities provide intriguing insights into the life of our ancestors, useful for demography studies and genealogical research. Automatic processing of historical documents, however, has mostly been focused on single works of literature and less on social records, which tend to have a distinct layout, structure, and vocabulary. Such information is usually collected by expert demographers that devote a lot of time to manually transcribe them. This paper presents a new database, compiled from a marriage license books collection, to support research in automatic handwriting recognition for historical documents containing social records. Marriage license books are documents that were used for centuries by ecclesiastical institutions to register marriage licenses. Books from this collection are handwritten and span nearly half a millennium until the beginning of the 20th century. In addition, a study is presented about the capability of state-of-the-art handwritten text recognition systems, when applied to the presented database. Baseline results are reported for reference in future studies. © 2012 Elsevier Ltd. All rights reserved. es_ES
dc.description.sponsorship Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV ‘‘Consolider Ingenio 2010’’ program (CSD2007-00018), MITTRAL (TIN2009-14633-C03-01) and KEDIHC ((TIN2009-14633-C03-03) projects. This work has been partially supported by the European Research Council Advanced Grant (ERC-2010-AdG-20100407: 269796-5CofM) and the European seventh framework project (FP7-PEOPLE-2008-IAPP: 230653-ADAO). Also supported by the Generalitat Valenciana under grant Prometeo/2009/014 and FPU AP2007-02867, and by the Universitat Politecnica de Val encia (PAID-05-11). We would also like to thank the Center for Demographic Studies (UAB) and the Cathedral of Barcelona.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Pattern Recognition es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject BLSTM es_ES
dc.subject Handwritten text recognition es_ES
dc.subject Hidden Markov models es_ES
dc.subject Marriage register books es_ES
dc.subject Neural networks es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.patcog.2012.11.024
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/230653/EU/Administrative Document Automate Optimization/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Vision/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269796/EU/Five Centuries of Marriages/
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-03/ES/Extraccion De Conocimiento De Imagenes De Documentos Con Contenidos Heterogeneos/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//AP2007-02867/ES/AP2007-02867/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-11/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Romero Gómez, V.; Fornés, A.; Serrano Martínez-Santos, N.; Sánchez Peiró, JA.; Toselli ., AH.; Frinken, V.; Vidal, E.... (2013). The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition. Pattern Recognition. 46(6):1658-1669. https://doi.org/10.1016/j.patcog.2012.11.024 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.patcog.2012.11.024 es_ES
dc.description.upvformatpinicio 1658 es_ES
dc.description.upvformatpfin 1669 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 46 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 264323
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder European Research Council
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Universitat Politècnica de València
dc.contributor.funder Ministerio de Educación y Ciencia es_ES


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