On ancient coin classification

On ancient coin classification

Abstract

Illegal trade and theft of coins appears to be a major part of the illegal antiques market. Image based recognition of coins could substantially contribute to fight against it. Central component in the permanent identification and traceability of coins is the underlying classification and identification technology. The first step of a computer aided system is the segmentation of the coin in the image. Next, a feature extraction process measures the coin in order to describe the coin unambiguously. In this paper, we focus on the segmentation task, followed by a comparison of features relevant for coin classification. Results of the algorithms implemented are presented for an image database of ancient coins.

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Authors
  • Zaharieva, Maia
  • Huber-Mörk, Reinhold
  • Nölle, Michael
  • Kampel, Martin
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
8th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST'07)
Divisions
Multimedia Information Systems
Event Type
Conference
Publisher
Eurographics
Page Range
55 - 62
Date
November 2007
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