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.
This work was partly supported by the European Union under grant FP6-SSP5-044450. However, this paper reflects only the authors’ views and the European Community is not liable for any use that may be made of the information contained herein.
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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. https://doi.org/10.1007/978-3-540-74272-2_68
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DOI: https://doi.org/10.1007/978-3-540-74272-2_68
Publisher Name: Springer, Berlin, Heidelberg
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