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Authors: Sebastian Zambanini and Martin Kampel

Affiliation: Pattern Recognition and Image Processing Group, Vienna University of Technology, Austria

ISBN: 978-989-8111-69-2

Keyword(s): Segmentation, Shape Description.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

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.

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Paper citation in several formats:
Zambanini S.; Kampel M. and (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

@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},
}

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

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