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
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/40254
Título:
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The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition
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Autor:
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Romero Gómez, Verónica
Fornés, Alicia
Serrano Martínez-Santos, Nicolás
Sánchez Peiró, Joan Andreu
Toselli ., Alejandro Héctor
Frinken, Volkmar
Vidal, Enrique
Lladós, Josep
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Entidad UPV:
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Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Fecha difusión:
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Resumen:
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[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 Automatic processing of historical documents, however, has ...[+]
[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 Automatic processing of historical documents, however, has mostly been focused on single works of literature and less on social records, which tend to have a distinct layout, structure, and vocabulary.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compiled from a marriage license books collection, to support research in automatic handwriting recognition for historical documents containing social records.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.
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Palabras clave:
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BLSTM
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Handwritten text recognition
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Hidden Markov models
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Marriage register books
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Neural networks
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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Pattern Recognition. (issn:
0031-3203
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DOI:
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10.1016/j.patcog.2012.11.024
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Editorial:
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Elsevier
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Versión del editor:
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http://dx.doi.org/10.1016/j.patcog.2012.11.024
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/FP7/230653/EU/Administrative Document Automate Optimization/
...[+]
info:eu-repo/grantAgreement/EC/FP7/230653/EU/Administrative Document Automate Optimization/
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Vision/
info:eu-repo/grantAgreement/EC/FP7/269796/EU/Five Centuries of Marriages/
info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/
info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-03/ES/Extraccion De Conocimiento De Imagenes De Documentos Con Contenidos Heterogeneos/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
info:eu-repo/grantAgreement/MEC//AP2007-02867/ES/AP2007-02867/
info:eu-repo/grantAgreement/UPV//PAID-05-11/
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Descripción:
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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
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Agradecimientos:
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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 ...[+]
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.
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Tipo:
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Artículo
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