A Fast and Reliable Coin Recognition System

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.

• Type: Conference
• Year: 2007
• Where: DAGM
• Authors: Marco Reisert, Olaf Ronneberger, Hans Burkhardt
• Keywords: Colinear Gradient Vectors, DAGM 2007, Gradient, Gradient Magnitude