Abstract
Numismatics deals with various historical aspects of the phenomenon
Money. Fundamental part of a numismatists work is the identification
and classification of coins according to standard reference books.
Prior to any analysis a coin image has to be segmented into two areas:
the area depicting the coin and the area belonging to the background.
In this paper, we focus on the segmentation task as a preprocessing
step for any automated coin identification system. We present a simple
and fast method for coin segmentation, based on local entropy and
gray value range. Results of the algorithms developed are shown for
an image database of ancient coins.
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