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Word graphs size impact on the performance of handwriting document applications

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Word graphs size impact on the performance of handwriting document applications

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Toselli ., AH.; Romero Gómez, V.; Vidal, E. (2017). Word graphs size impact on the performance of handwriting document applications. Neural Computing and Applications. 28(9):2477-2487. https://doi.org/10.1007/s00521-016-2336-2

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Metadatos del ítem

Título: Word graphs size impact on the performance of handwriting document applications
Autor: Toselli ., Alejandro Héctor Romero Gómez, Verónica Vidal, Enrique
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Fecha de fin de embargo: 2018-09-01
Resumen:
[EN] Two document processing applications are con- sidered: computer-assisted transcription of text images (CATTI) and Keyword Spotting (KWS), for transcribing and indexing handwritten documents, respectively. Instead of ...[+]
Palabras clave: Computer-assisted transcription of text images , Keyword spotting for handwritten text , Historical handwritten manuscripts , Word graphs , Evaluation performance
Derechos de uso: Reserva de todos los derechos
Fuente:
Neural Computing and Applications. (issn: 0941-0643 )
DOI: 10.1007/s00521-016-2336-2
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s00521-016-2336-2
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
info:eu-repo/grantAgreement/MINECO//PCIN-2015-068/ES/INDEXACION DE MANUSCRITOS HISTORICOS PARA BUSQUEDAS CONTROLADAS POR EL USUARIO/
Agradecimientos:
Work partially supported by the Generalitat Valenciana under the Prometeo/2009/014 Project Grant ALMAMATER, by the Spanish MECD as part of the Valorization and I+D+I Resources program of VLC/CAMPUS in the International ...[+]
Tipo: Artículo

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