Title :
Algorithm to discriminate between new and used bills using a neural network
Author :
Kang, Dongshik ; Raveendran, P. ; Omatu, Sigera
Author_Institution :
Coll. of Eng., Osaka Prefecture Univ., Japan
Abstract :
In this paper, we have proposed a method of classification for new and used currency bills from observed data using a neural network and a 2-stage adaptive digital filter (ADF). The 2-stage ADF is used in order to detect the desired signal from noisy input data. Whereas the neural network (NN) is used in order to discriminate new and used currency bill. The technique used here is based on an extension of the usual ADF designed by B. Widrow (1985) and the back-error-propagation (BP) method
Keywords :
backpropagation; financial data processing; neural nets; 2-stage adaptive digital filter; back-error-propagation method; currency bills; neural network; new bills; used bills; Neural networks;
Conference_Titel :
Database and Expert Systems Applications, 1998. Proceedings. Ninth International Workshop on
Conference_Location :
Vienna
Print_ISBN :
0-8186-8353-8
DOI :
10.1109/DEXA.1998.707426
