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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/71361

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Item Metadata

Title: An Image-Based Measure for Evaluation of Mathematical Expression Recognition
Author: Álvaro Muñoz, Francisco Sánchez Peiró, Joan Andreu Benedí Ruiz, José Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
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 ...[+]
Subjects: Performance evaluation , Image-based modeling , Mathematical expression recognition
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-38627-5
Source:
Pattern Recognition and Image Analysis. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-38628-2_81
Publisher:
Springer
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-38628-2_81
Conference name: 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2013)
Conference place: Funchal, Madeira, Portugal
Conference date: June 5-7, 2013
Series: Lecture Notes in Computer Science;7887
Project ID:
info:eu-repo/grantAgreement/EC/FP7/600707/EU/tranScriptorium/
MECD/TIN2012-37475-C02-01
info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/
info:eu-repo/grantAgreement/MECD//AP2009-4363/ES/AP2009-4363/
GV/Prometeo/2009/014
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38628-2_81
Thanks:
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 ...[+]
Type: Capítulo de libro Comunicación en congreso

References

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Álvaro, F., Sánchez, J.A., Benedí, J.M.: Unbiased evaluation of handwritten mathematical expression recognition. In: Proceedings of ICFHR, Italy, pp. 181–186 (2012)

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)

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)

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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)

Otsu, N.: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979)

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)

Toselli, A.H., Juan, A., Vidal, E.: Spontaneous Handwriting Recognition and Classification. In: Proceedings of ICPR, England, UK, pp. 433–436 (2004)

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)

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)

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