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Authors: Carlos A. B. Mello 1 ; Adriano L. I. Oliveira 1 and Ángel Sánchez 2

Affiliations: 1 Polytechnic School of Pernambuco, University of Pernambuco, Brazil ; 2 Rey Juan Carlos University, Spain

ISBN: 978-989-8111-21-0

Keyword(s): Document Processing, Image Thresholding, Historical Documents, Entropy.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Filtering ; Image Formation and Preprocessing

Abstract: Preservation and publishing historical documents are important issues which have gained more and more interest over the years. Digital media has been used to storage digital versions of the documents as image files. However, this digital image needs huge storage space as usually the documents are digitized in high resolutions and in true colour for preservation purposes. In order to make easier the access to the images they can be converted into bi-level images. We present in this work a new method composed by two algorithms for binarization of historical document images based on Tsallis entropy. The new method was compared to several other well-known threshold algorithms and it achieved the best qualitative and quantitative results when compared to the gold standard images of the documents, measuring precision, recall, accuracy, specificity, peak signal-to-noise ratio and mean square error.

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Paper citation in several formats:
Mello C.; Oliveira A.; Sánchez Á. and (2008). HISTORICAL DOCUMENT IMAGE BINARIZATION.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 108-113. DOI: 10.5220/0001078201080113

@conference{visapp08,
author={Carlos A. B. Mello and Adriano L. I. Oliveira and Ángel Sánchez},
title={HISTORICAL DOCUMENT IMAGE BINARIZATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={108-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001078201080113},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - HISTORICAL DOCUMENT IMAGE BINARIZATION
SN - 978-989-8111-21-0
AU - Mello, C.
AU - Oliveira, A.
AU - Sánchez, Á.
PY - 2008
SP - 108
EP - 113
DO - 10.5220/0001078201080113

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