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Authors: Vassilios Vonikakis ; Ioannis Andreadis ; Nikolaos Papamarkos and Antonios Gasteratos

Affiliation: Democritus University of Thrace, Greece

Keyword(s): Document binarization, thresholding, OFF center-surround cells, human visual system.

Abstract: This paper presents a new approach to adaptive document binarization, inspired by the attributes of the Human Visual System (HVS). The proposed algorithm combines the characteristics of the OFF ganglion cells of the HVS with the classic Otsu binarization technique. Ganglion cells with four receptive field sizes tuned to different spatial frequencies are employed, which, adopting a new activation function, are independent of gradual illumination changes, such as shadows. The Otsu technique is then used for thresholding the outputs of the ganglion cells, resulting to the final segmentation of the characters from the background. The proposed method was quantitatively and qualitatively tested against other contemporary adaptive binarization techniques in various shadow levels and noise densities, and it was found to outperform them.

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Paper citation in several formats:
Vonikakis, V.; Andreadis, I.; Papamarkos, N. and Gasteratos, A. (2007). ADAPTIVE DOCUMENT BINARIZATION - A Human Vision Approach. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 104-109. DOI: 10.5220/0002047001040109

@conference{visapp07,
author={Vassilios Vonikakis. and Ioannis Andreadis. and Nikolaos Papamarkos. and Antonios Gasteratos.},
title={ADAPTIVE DOCUMENT BINARIZATION - A Human Vision Approach},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={104-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002047001040109},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - ADAPTIVE DOCUMENT BINARIZATION - A Human Vision Approach
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Vonikakis, V.
AU - Andreadis, I.
AU - Papamarkos, N.
AU - Gasteratos, A.
PY - 2007
SP - 104
EP - 109
DO - 10.5220/0002047001040109
PB - SciTePress

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