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Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models

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Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models

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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


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