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. The first step of a computer aided
system is the segmentation of the coin in the image. Next, a feature
extraction process measures the coin in order to describe the coin
unambiguously. In this paper, we focus on the segmentation task,
followed by a comparison of features relevant for coin classification.
Results of the algorithms implemented are presented for an image
database of ancient coins.
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