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Proceedings Paper

Using online handwriting and audio streams for mathematical expressions recognition: a bimodal approach
Author(s): Sofiane Medjkoune; Harold Mouchère; Simon Petitrenaud; Christian Viard-Gaudin
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Paper Abstract

The work reported in this paper concerns the problem of mathematical expressions recognition. This task is known to be a very hard one. We propose to alleviate the difficulties by taking into account two complementary modalities. The modalities referred to are handwriting and audio ones. To combine the signals coming from both modalities, various fusion methods are explored. Performances evaluated on the HAMEX dataset show a significant improvement compared to a single modality (handwriting) based system.

Paper Details

Date Published: 4 February 2013
PDF: 11 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865810 (4 February 2013); doi: 10.1117/12.2007847
Show Author Affiliations
Sofiane Medjkoune, IRCCyN Lab., Nantes Univ. (France)
LIUM Lab., Le Mans Univ. (France)
Harold Mouchère, IRCCyN Lab., Nantes Univ. (France)
Simon Petitrenaud, LIUM Lab., Le Mans Univ. (France)
Christian Viard-Gaudin, IRCCyN Lab., Nantes Univ. (France)

Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)

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