From manual to automated optical recognition of ancient coins

From manual to automated optical 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 over the challenges faced by optical recognition algorithms. Furthermore, we show that image based recognition can assist the manual process of coin classification and identification by restricting the range of possible coins of interest.

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Authors
  • Zaharieva, Maia
  • Kampel, Martin
  • Vondrovec, Klaus
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
13th International Conference on Virtual Systems and Multimedia (VSMM'07)
Divisions
Multimedia Information Systems
Event Type
Conference
Series Name
LNCS
Publisher
Springer-Verlag
Page Range
pp. 88-99
Date
September 2007
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