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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 | 2015-04-30T08:13:25Z | |
dc.date.available | 2015-04-30T08:13:25Z | |
dc.date.issued | 2014-01 | |
dc.identifier.issn | 0167-8655 | |
dc.identifier.uri | http://hdl.handle.net/10251/49505 | |
dc.description.abstract | [EN] This paper describes a formal model for the recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models. Hidden Markov models are used to recognize mathematical symbols, and a stochastic context-free grammar is used to model the relation between these symbols. This formal model makes possible to use classic algorithms for parsing and stochastic estimation. In this way, first, the model is able to capture many of variability phenomena that appear in on-line handwritten mathematical expressions during the training process. And second, the parsing process can make decisions taking into account only stochastic information, and avoiding heuristic decisions. The proposed model participated in a contest of mathematical expression recognition and it obtained the best results at different levels. 2012 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | Work supported by the EC (FEDER/ FSE) and the Spanish MEC/MICINN under the MIPRCV ‘‘Consolider Ingenio 2010’’ program (CSD2007-00018), the MITTRAL (TIN2009-14633-C03-01) project, the FPU Grant (AP2009-4363), and by the Generalitat Valenciana under the Grant Prometeo/2009/014. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Pattern Recognition Letters | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Mathematical expression recognition | es_ES |
dc.subject | Handwriting recognition | es_ES |
dc.subject | Stochastic parsing | es_ES |
dc.subject | Symbol recognition | es_ES |
dc.subject | Structural analysis | es_ES |
dc.subject | Spatial relations | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | |
dc.identifier.doi | 10.1016/j.patrec.2012.09.023 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ | 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/ME//AP2009-4363/ES/AP2009-4363/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Generalitat Valenciana//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.description.bibliographicCitation | Álvaro Muñoz, F.; Sánchez Peiró, JA.; Benedí Ruiz, JM. (2014). Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models. Pattern Recognition Letters. 35:58-67. https://doi.org/10.1016/j.patrec.2012.09.023 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 12th International Conference on Frontiers in Handwriting Recognition (ICFHR) | |
dc.relation.conferencedate | 2010 | |
dc.relation.conferenceplace | Kolkata, India | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.patrec.2012.09.023 | es_ES |
dc.description.upvformatpinicio | 58 | es_ES |
dc.description.upvformatpfin | 67 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 35 | es_ES |
dc.relation.senia | 251581 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | |
dc.contributor.funder | Ministerio de Educación y Ciencia | |
dc.contributor.funder | Generalitat Valenciana | |
dc.contributor.funder | Ministerio de Educación | es_ES |
dc.contributor.funder | European Commission | es_ES |