Image based recognition of ancient coins

Image based recognition of ancient coins

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. However, currently available algorithms focus basically on the recognition of modern coins. To date, no optical recognition system for ancient coins has been researched successfully. In this paper, we give an overview on recent research for coin classification and we show if existing approaches can be extended from modern coins to ancient coins. Results of the algorithms implemented are presented for three different coins databases with more then 10.000 coins.

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Authors
  • Zaharieva, Maia
  • Kampel, Martin
  • Zambanini, Sebastian
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
12th International Conference on Computer Analysis of Images and Patterns (CAIP'07)
Divisions
Multimedia Information Systems
Event Type
Conference
Series Name
LNCS
Publisher
Springer-Verlag
Page Range
pp. 547-554
Date
August 2007
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