Identification of Counterfeit Banknote Based on Neural Networks
Lei Yu-tang · Optics & Optoelectronic Technology · 2006
A counterfeit banknote identification system is developed by using neural network techniques and opto-detection. The architecture, principle, neural network software optimization design, experiment and test results of the identification system are introduced. Confirmed by the practice, identification result is reliable and the system can be applied to the finan- cial smart anti-counterfeiting and banknote counting machine and ATM.