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A fast and reliable coin recognition system

Pattern Recognition (Proc. DAGM), LNCS: 415--424, 2007
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Abstract: This paper presents a reliable coin recognition system that is based on a registration approach. To optimally align two coins we search for a rotation in order to reach a maximal number of colinear gradient vectors. The gradient magnitude is completely neglected. After a quantization of the gradient directions the computation of the induced similarity measure can be done efficiently in the Fourier domain. The classification is realized with a simple nearest neighbor classification scheme followed by several rejection criteria to meet the demand of a low false positive rate.

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BibTex references

@InProceedings{RB07,
  author       = "M. Reisert and O. Ronneberger and H. Burkhardt",
  title        = "A fast and reliable coin recognition system",
  booktitle    = "Pattern Recognition (Proc. DAGM)",
  series       = "LNCS",
  pages        = "415--424",
  year         = "2007",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2007/RB07"
}

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