A Classification Method for the Dirty Factor of Banknotes Based on Neural Network with Sine Basis Functions
Kexue He, Shurong Peng, Shutao Li · 2008
The classification on the dirty factor of the new and used banknotes is an important function of the note sorter. This paper proposes a classification method based on neural network with sine basis functions. The gray level histogram of banknote image is used as the characteristic vector to train the neural network. The classification effect is satisfying by this method.