A fast and reliable coin recognition system

Authors:
Marco Reisert;Olaf Ronneberger;Hans Burkhardt
Affiliations:
University of Freiburg, Computer Science Department, Freiburg i.Br., Germany;University of Freiburg, Computer Science Department, Freiburg i.Br., Germany;University of Freiburg, Computer Science Department, Freiburg i.Br., Germany
Venue:
Proceedings of the 29th DAGM conference on Pattern recognition
Year:
2007

Citing 3
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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.