Image Based Recognition of Ancient Coins

  • Maia Zaharieva
  • Martin Kampel
  • Sebastian Zambanini
Conference paper

DOI: 10.1007/978-3-540-74272-2_68

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)
Cite this paper as:
Zaharieva M., Kampel M., Zambanini S. (2007) Image Based Recognition of Ancient Coins. In: Kropatsch W.G., Kampel M., Hanbury A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maia Zaharieva
    • 1
  • Martin Kampel
    • 1
  • Sebastian Zambanini
    • 1
  1. 1.Vienna University of Technology, Institute of Computer Aided Automation, Pattern Recognition and Image Processing Group, Favoritenstr. 9/1832, A-1040 ViennaAustria

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