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An Image-Based Measure for Evaluation of Mathematical Expression Recognition

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An Image-Based Measure for Evaluation of Mathematical Expression Recognition

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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
dc.description.references Álvaro, F., Sánchez, J.A., Benedí, J.M.: Unbiased evaluation of handwritten mathematical expression recognition. In: Proceedings of ICFHR, Italy, pp. 181–186 (2012) es_ES
dc.description.references Chan, K.F., Yeung, D.Y.: Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Pattern Recognition 34(8), 1671–1684 (2001) es_ES
dc.description.references Chou, P.A.: Recognition of equations using a two-dimensional stochastic context-free grammar. In: Pearlman, W.A. (ed.) Visual Communications and Image Processing IV. SPIE Proceedings Series, vol. 1199, pp. 852–863 (1989) es_ES
dc.description.references Garain, U., Chaudhuri, B.B.: A corpus for OCR research on mathematical expressions. Int. Journal on Document Analysis and Recognition 7, 241–259 (2005) es_ES
dc.description.references Keysers, D., Deselaers, T., Gollan, C., Ney, H.: Deformation models for image recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence 29(8), 1422–1435 (2007) es_ES
dc.description.references Mouchére, H., Viard-Gaudin, C., Garain, U., Kim, D.H., Kim, J.H.: ICFHR 2012 – Competition on Recognition of On-line Mathematical Expressions (CROHME 2012). In: Proceedings of ICFHR, Italy, pp. 807–812 (2012) es_ES
dc.description.references Otsu, N.: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979) es_ES
dc.description.references Sain, K., Dasgupta, A., Garain, U.: EMERS: a tree matching-based performance evaluation of mathematical expression recognition system. International Journal of Document Analysis and Recognition (2010) es_ES
dc.description.references Toselli, A.H., Juan, A., Vidal, E.: Spontaneous Handwriting Recognition and Classification. In: Proceedings of ICPR, England, UK, pp. 433–436 (2004) es_ES
dc.description.references Zanibbi, R., Blostein, D., Cordy, J.R.: Recognizing mathematical expressions using tree transformation. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(11), 1–13 (2002) es_ES
dc.description.references Zanibbi, R., Pillay, A., Mouchere, H., Viard-Gaudin, C., Blostein, D.: Stroke-based performance metrics for handwritten mathematical expressions. In: Proceedings of ICDAR, pp. 334–338 (2011) es_ES


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