The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
Classification of coins using an eigenspace approach
Pattern Recognition Letters
Recognizing Ancient Coins Based on Local Features
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
From manual to automated optical recognition of ancient coins
VSMM'07 Proceedings of the 13th international conference on Virtual systems and multimedia
On ancient coin classification
VAST'07 Proceedings of the 8th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
On the use of computer vision for numismatic research
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Reading ancient coins: automatically identifying denarii using obverse legend seeded retrieval
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Coarse-to-Fine correspondence search for classifying ancient coins
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Reading the legends of Roman Republican coins
Journal on Computing and Cultural Heritage (JOCCH)
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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.