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Approches multimodales pour la reconnaissance d’expressions mathématiques

Abstract : In this paper, we report some results related to mathematical expression recognition. We tackle this problem, known to be very difficult, using multimodal information –handwriting and speech–. This bimodality aspect of the information provides greater reliability since the modalities in concern are very complementary. We present a complete operating system in which the fusion process is done in every step of the mathematical expression recognition process (symbol identification, relation identification and interpretation). The bimodal system is evaluated on real bimodal data from the HAMEX dataset and the obtained results are compared to a single modality (handwriting) based system.
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Contributor : Harold Mouchère Connect in order to contact the contributor
Submitted on : Monday, May 11, 2015 - 9:26:57 PM
Last modification on : Wednesday, April 27, 2022 - 3:44:02 AM


  • HAL Id : hal-01150818, version 1


Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin. Approches multimodales pour la reconnaissance d’expressions mathématiques. Document Numérique, Lavoisier, 2014, 17 (3), pp.97-122. ⟨hal-01150818⟩



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