From Manual to Automated Optical Recognition of Ancient Coins

  • Maia Zaharieva
  • Martin Kampel
  • Klaus Vondrovec
Conference paper

DOI: 10.1007/978-3-540-78566-8_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4820)
Cite this paper as:
Zaharieva M., Kampel M., Vondrovec K. (2008) From Manual to Automated Optical Recognition of Ancient Coins. In: Wyeld T.G., Kenderdine S., Docherty M. (eds) Virtual Systems and Multimedia. VSMM 2007. Lecture Notes in Computer Science, vol 4820. 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 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Maia Zaharieva
    • 1
  • Martin Kampel
    • 1
  • Klaus Vondrovec
    • 2
  1. 1.Vienna University of Technology Pattern Recognition and Image ProcessingViennaAustria
  2. 2.Museum of Fine Arts Department of Coin and MedalsViennaAustria maia

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