Paper
4 February 2013 Using online handwriting and audio streams for mathematical expressions recognition: a bimodal approach
Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin
Author Affiliations +
Proceedings Volume 8658, Document Recognition and Retrieval XX; 865810 (2013) https://doi.org/10.1117/12.2007847
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, and Christian Viard-Gaudin "Using online handwriting and audio streams for mathematical expressions recognition: a bimodal approach", Proc. SPIE 8658, Document Recognition and Retrieval XX, 865810 (4 February 2013); https://doi.org/10.1117/12.2007847
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KEYWORDS
Signal processing

Data fusion

Speech recognition

Structural analysis

Rhodium

Databases

Systems modeling

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