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Image-Based Retrieval and Identification of Ancient Coins
March/April 2009 (vol. 24 no. 2)
pp. 26-34
Martin Kampel, Vienna University of Technology
Reinhold Huber-Mörk, Austrian Research Centers
Maia Zaharieva, Vienna University of Technology
Reliable object identification is an essential task in the process of recognizing and tracing stolen cultural heritage. We investigate the feasibility of using computer-aided identification of ancient coins to search for a given coin on the Internet or in a digital repository. Because a coin's shape is a unique feature, we first apply a shape descriptor to capture its characteristics. Then, we use local features to describe the die information. The approach presented here shows promise for reliably identifying objects in the area of cultural heritage.

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Index Terms:
object identification, shape descriptors, local features, coin identification
Citation:
Martin Kampel, Reinhold Huber-Mörk, Maia Zaharieva, "Image-Based Retrieval and Identification of Ancient Coins," IEEE Intelligent Systems, vol. 24, no. 2, pp. 26-34, March-April 2009, doi:10.1109/MIS.2009.29
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