ROBUST AUTOMATIC SEGMENTATION OF ANCIENT COINS

Sebastian Zambanini, Martin Kampel

2009

Abstract

Nowadays, ancient coins are becoming subject to a very large illicit trade. Thus, the interest in reliable automatic coin recognition systems within cultural heritage and law enforcement institutions rises rapidly. Central component in the permanent identification and traceability of coins is the underlying image recognition technology. Prior to any analysis a coin image has to be segmented into two areas: the area depicting the coin and the area belonging to the background. In this paper, we focus on the segmentation task as a preprocessing step for any automated coin recognition system. The objective is a robust segmentation procedure for a large variety of coin image styles. We present a simple and fast method for coin segmentation, based on local entropy and gray value range. Results of the developed algorithm are shown for an image database of ancient coins and demonstrate the benefits of our approach.

Paper Citation

in Harvard Style

Zambanini S. and Kampel M. (2009). ROBUST AUTOMATIC SEGMENTATION OF ANCIENT COINS . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 273-276. DOI: 10.5220/0001798302730276

in Bibtex Style

@conference{visapp09,
author={Sebastian Zambanini and Martin Kampel},
title={ROBUST AUTOMATIC SEGMENTATION OF ANCIENT COINS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={273-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001798302730276},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - ROBUST AUTOMATIC SEGMENTATION OF ANCIENT COINS
SN - 978-989-8111-69-2
AU - Zambanini S.
AU - Kampel M.
PY - 2009
SP - 273
EP - 276
DO - 10.5220/0001798302730276