Automatic Coin Classification by Image Matching

@inproceedings{Zambanini2011AutomaticCC,
  title={Automatic Coin Classification by Image Matching},
  author={Sebastian Zambanini and Martin Kampel},
  booktitle={VAST},
  year={2011}
}
This paper presents an automatic image-based ancient coin classification method that adopts the recently proposed SIFT flow method in order to assess the similarity of coin images. Our system does not rely on pattern classification as discriminative feature extraction and classification becomes very difficult for large coin databases. This is mainly caused by the specific challenges that ancient coins pose to a classification method based on 2D images. In this paper we highlight these… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 16 references

3d acquisition of historical coins and its application area in numismatics

  • S. ZAMBANINI, M. SCHLAPKE, M. HÖDLMOSER, M. KAMPEL
  • In Proc. SPIE (2010),
  • 2010

Pattern Recognition and Machine Learning, 1 ed

  • C M.BISHOP
  • 2007
1 Excerpt

Coin-o-matic: A fast system for reliable coin classification

  • L J.VANDERMAATEN, P. POON
  • In Proc. of the Muscle CIS Coin Competition
  • 2006

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