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Authors: Luc Mioulet 1 ; G. Bideault 2 ; C. Chatelain 3 ; T. Paquet 2 and S. Brunessaux 4

Affiliations: 1 Universite de Rouen and Airbus DS, France ; 2 Universite de Rouen, France ; 3 INSA Rouen, France ; 4 Airbus DS, France

Keyword(s): Feature Combination, Recurrent Neural Network, Neural Network, Handwriting Recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Classification ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Multiclassifier Fusion ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Object Recognition ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Theory and Methods

Abstract: In this paper we present several combination strategies using multiple BLSTM-CTC systems. Given several feature sets our aim is to determine which strategies are the most relevant to improve on an isolated word recognition task (the WR2 task of the ICDAR 2009 competition), using a BLSTM-CTC architecture. We explore different combination levels: early integration (feature combination), mid level combination and late fusion (output combinations). Our results show that several combinations outperform single feature BLSTM-CTCs.

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Paper citation in several formats:
Mioulet, L.; Bideault, G.; Chatelain, C.; Paquet, T. and Brunessaux, S. (2015). BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 173-180. DOI: 10.5220/0005178601730180

@conference{icpram15,
author={Luc Mioulet. and G. Bideault. and C. Chatelain. and T. Paquet. and S. Brunessaux.},
title={BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={173-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005178601730180},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition
SN - 978-989-758-076-5
IS - 2184-4313
AU - Mioulet, L.
AU - Bideault, G.
AU - Chatelain, C.
AU - Paquet, T.
AU - Brunessaux, S.
PY - 2015
SP - 173
EP - 180
DO - 10.5220/0005178601730180
PB - SciTePress