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Authors: Manolis Delakis and Christophe Garcia

Affiliation: Orange Labs, France

Keyword(s): Image understading, Neural networks, Text detection, Pattern recognition.

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

Abstract: Text detection is an important preliminary step before text can be recognized in unconstrained image environments. We present an approach based on convolutional neural networks to detect and localize horizontal text lines from raw color pixels. The network learns to extract and combine its own set of features through learning instead of using hand-crafted ones. Learning was also used in order to precisely localize the text lines by simply training the network to reject badly-cut text and without any use of tedious knowledge-based post-processing. Although the network was trained with synthetic examples, experimental results demonstrated that it can outperform other methods on the real-world test set of ICDAR’03.

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Paper citation in several formats:
Delakis, M. and Garcia, C. (2008). TEXT DETECTION WITH CONVOLUTIONAL NEURAL NETWORKS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 290-294. DOI: 10.5220/0001079902900294

@conference{visapp08,
author={Manolis Delakis. and Christophe Garcia.},
title={TEXT DETECTION WITH CONVOLUTIONAL NEURAL NETWORKS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={290-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001079902900294},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - TEXT DETECTION WITH CONVOLUTIONAL NEURAL NETWORKS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Delakis, M.
AU - Garcia, C.
PY - 2008
SP - 290
EP - 294
DO - 10.5220/0001079902900294
PB - SciTePress

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