Development of a Neuro-Templates Matching Recognition Method for Banknotes

Abstract

Up to now, Authors' research have been focussed on applications for banknotes recognition on neural networks (NNs). Especially, we have clarified its effectiveness of neuro-recognition system on industrial use by implementing the neuro-recognition system to various banking machines in spite of unfocussed sensing data and various noised data. Recently, another demand on banknotes recognition will be appeared. Namely, it is needed the more number of banknotes to be recognized at the same time on the banking machines according to appearance of Euro banknotes. In order to solve this problem, we propose a neuro-templates matching method whose templates are constructed by plural NNs. We show its effectiveness by experiments for various foreign banknotes and Euro dummy. Furthermore, we also refer extension of the proposed method to human security using bio-parametric information such as palm prints, finger prints, face image and so on.