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Authors: Hiroshi Tanaka ; Yusaku Fujii and Yoshinobu Hotta

Affiliation: Fujitsu, Japan

ISBN: 978-989-8425-47-8

Keyword(s): Adaptive binarization, Text extraction, Thresholding, Otsu binarization, Threshold correction, Background noise, Niblack, Image resolution.

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

Abstract: In this paper, a simple threshold correction method for document image binarization for text extraction is presented. This method enhances the binary image of characters, which is often adversely influenced by neighboring strong pixels or background noise. The threshold correction method is based on a similar method applied to ruled-line extraction presented by the author, and is claimed to be effective to text extraction. The author also reveals the relationship between effectiveness of the method and the image resolution.

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Paper citation in several formats:
Tanaka, H.; Fujii, Y. and Hotta, Y. (2011). THRESHOLD CORRECTION OF DOCUMENT IMAGE BINARIZATION FOR TEXT EXTRACTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 387-391. DOI: 10.5220/0003396503870391

@conference{visapp11,
author={Hiroshi Tanaka. and Yusaku Fujii. and Yoshinobu Hotta.},
title={THRESHOLD CORRECTION OF DOCUMENT IMAGE BINARIZATION FOR TEXT EXTRACTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={387-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003396503870391},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - THRESHOLD CORRECTION OF DOCUMENT IMAGE BINARIZATION FOR TEXT EXTRACTION
SN - 978-989-8425-47-8
AU - Tanaka, H.
AU - Fujii, Y.
AU - Hotta, Y.
PY - 2011
SP - 387
EP - 391
DO - 10.5220/0003396503870391

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