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dc.contributor.author | Toselli, Alejandro Héctor | es_ES |
dc.contributor.author | Romero Gómez, Verónica | es_ES |
dc.contributor.author | Vidal Ruiz, Enrique | es_ES |
dc.date.accessioned | 2016-06-10T12:19:25Z | |
dc.date.available | 2016-06-10T12:19:25Z | |
dc.date.issued | 2015-06 | |
dc.identifier.isbn | 978-3-319-19389-2 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10251/65647 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8 29 | es_ES |
dc.description.abstract | Computer Assisted Transcription of Text Images (CATTI) and Key-Word Spotting (KWS) applications aim at transcribing and indexing handwritten documents respectively. They both are approached by means of Word Graphs (WG) obtained using segmentation-free handwritten text recognition technology based on N-gram Language Models and Hidden Markov Models. A large WG contains most of the relevant information of the original text (line) image needed for CATTI and KWS but, if it is too large, the computational cost of generating and using it can become unaffordable. Conversely, if it is too small, relevant information may be lost, leading to a reduction of CATTI/KWS in performance accuracy. We study the trade-off between WG size and CATTI &KWS performance in terms of effectiveness and efficiency. Results show that small, computationally cheap WGs can be used without loosing the excellent CATTI/KWS performance achieved with huge WGs. | es_ES |
dc.description.sponsorship | Work partially supported by the Spanish MICINN projects STraDA (TIN2012-37475-C02-01) and by the EU 7th FP tranScriptorium project (Ref:600707). | es_ES |
dc.format.extent | 9 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer | es_ES |
dc.relation.ispartof | Pattern Recognition and Image Analysis | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science;9117 | |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Recognition | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Word-Graph Based Applications for Handwriting Documents: Impact of Word-Graph Size on Their Performances | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1007/978-3-319-19390-8_29 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/600707/EU/tranScriptorium/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-37475-C02-01/ES/SEARCH IN TRANSCRIBED MANUSCRIPTS AND DOCUMENT AUGMENTATION/ | 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.description.bibliographicCitation | Toselli, AH.; Romero Gómez, V.; Vidal Ruiz, E. (2015). Word-Graph Based Applications for Handwriting Documents: Impact of Word-Graph Size on Their Performances. En Pattern Recognition and Image Analysis. Springer. 253-261. https://doi.org/10.1007/978-3-319-19390-8_29 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2015) | es_ES |
dc.relation.conferencedate | June 17-19, 2015 | es_ES |
dc.relation.conferenceplace | Santiago de Compostela, Spain | es_ES |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-319-19390-8_29 | es_ES |
dc.description.upvformatpinicio | 253 | es_ES |
dc.description.upvformatpfin | 261 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 309110 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | European Commission | es_ES |
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