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dc.contributor.author | Sánchez Peiró, Joan Andreu | es_ES |
dc.contributor.author | Romero Gómez, Verónica | es_ES |
dc.contributor.author | Toselli, Alejandro Héctor | es_ES |
dc.contributor.author | Vidal, Enrique | es_ES |
dc.date.accessioned | 2017-09-20T10:17:00Z | |
dc.date.available | 2017-09-20T10:17:00Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 2167-6445 | |
dc.identifier.uri | http://hdl.handle.net/10251/87615 | |
dc.description | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | es_ES |
dc.description.abstract | [EN] This paper describes the Handwritten Text Recognition (HTR) competition on the READ dataset that has been held in the context of the International Conference on Frontiers in Handwriting Recognition 2016. This competition aims to bring together researchers working on off-line HTR and provide them a suitable benchmark to compare their techniques on the task of transcribing typical historical handwritten documents. Two tracks with different conditions on the use of training data were proposed. Ten research groups registered in the competition but finally five submitted results. The handwritten images for this competition were drawn from the German document Ratsprotokolle collection composed of minutes of the council meetings held from 1470 to 1805, used in the READ project. The selected dataset is written by several hands and entails significant variabilities and difficulties. The five participants achieved good results with transcriptions word error rates ranging from 21% to 47% and character error rates rating from 5% to 19%. | es_ES |
dc.description.sponsorship | This work has been partially supported through the European Union's H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943), and the MINECO/FEDER UE project TIN2015-70924-C2-1-R. | |
dc.format.extent | 6 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Handwritten Text Recognition | es_ES |
dc.subject | Historical documents | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1109/ICFHR.2016.0120 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-70924-C2-1-R/ES/CONTEXTO, MULTIMODALIDAD Y COLABORACION DEL USUARIO EN PROCESADO DE TEXTO MANUSCRITO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/ | |
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 | Sánchez Peiró, JA.; Romero Gómez, V.; Toselli, AH.; Vidal, E. (2016). ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset. IEEE. https://doi.org/10.1109/ICFHR.2016.0120 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2016) | es_ES |
dc.relation.conferencedate | October, 23-26, 2016 | es_ES |
dc.relation.conferenceplace | Shenzhen, China | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/ICFHR.2016.0120 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 320612 | es_ES |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Ministerio de Economía y Competitividad |