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dc.contributor.author | Álvaro Muñoz, Francisco | es_ES |
dc.contributor.author | Sánchez Peiró, Joan Andreu | es_ES |
dc.contributor.author | Benedí Ruiz, José Miguel | es_ES |
dc.date.accessioned | 2016-10-07T07:18:11Z | |
dc.date.available | 2016-10-07T07:18:11Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-3-642-38627-5 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10251/71361 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38628-2_81 | es_ES |
dc.description.abstract | Mathematical expression recognition is an active research field that is related to document image analysis and typesetting. In this study, we present a novel global performance evaluation measure for mathematical expression recognition based on image matching. Using an image representation for evaluation tries to overcome the representation ambiguity as human beings do. The results of a recent competition were used to perform several experiments in order to analyze the benefits and drawbacks of this measure. | es_ES |
dc.description.sponsorship | This work was partially supported by the Spanish MEC under the STraDA research project (TIN2012-37475-C02-01), the MITTRAL (TIN2009-14633-C03-01) project, the FPU grant (AP2009-4363), by the Generalitat Valenciana under the grant Prometeo/2009/014, and through the EU 7th Framework Programme grant tranScriptorium (Ref: 600707) | |
dc.format.extent | 9 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | MECD/TIN2012-37475-C02-01 | es_ES |
dc.relation.ispartof | Pattern Recognition and Image Analysis | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science;7887 | |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Performance evaluation | es_ES |
dc.subject | Image-based modeling | es_ES |
dc.subject | Mathematical expression recognition | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | An Image-Based Measure for Evaluation of Mathematical Expression Recognition | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1007/978-3-642-38628-2_81 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/600707/EU/tranScriptorium/ | es_ES |
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/MECD//AP2009-4363/ES/AP2009-4363/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ | 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.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Álvaro Muñoz, F.; Sánchez Peiró, JA.; Benedí Ruiz, JM. (2013). An Image-Based Measure for Evaluation of Mathematical Expression Recognition. En Pattern Recognition and Image Analysis. Springer. 682-690. https://doi.org/10.1007/978-3-642-38628-2_81 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2013) | es_ES |
dc.relation.conferencedate | June 5-7, 2013 | es_ES |
dc.relation.conferenceplace | Funchal, Madeira, Portugal | es_ES |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-642-38628-2_81 | es_ES |
dc.description.upvformatpinicio | 682 | es_ES |
dc.description.upvformatpfin | 690 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 253863 | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | |
dc.contributor.funder | Generalitat Valenciana | |
dc.contributor.funder | European Commission | |
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