Carlos A. B. Mello, Adriano L. I. Oliveira, Ángel Sánchez



Preservation and publishing historical documents are important issues which have gained more and more interest over the years.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 We present in this work a new method composed by two algorithms for binarization of historical document images based on Tsallis entropy.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 Harvard Style

Mello C., Oliveira A. and Sánchez Á. (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 HISTORICAL DOCUMENT IMAGE BINARIZATION .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

in Bibtex Style

author={Carlos A. B. Mello and Adriano L. I. Oliveira and Ángel Sánchez},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},

in EndNote Style

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
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