Title :
Banknote recognition based on continuous change in strictness of examination
Author :
Nishimura, Kazuo
Author_Institution :
Dept. of Network & Commun., Kanagawa Inst. of Technol., Kanagawa, Japan
Abstract :
This paper proposes a model of human recognition that simulates a human´s continuous change in observation from rough overall check to fine detailed check. It has been applied to banknote recognition. Banknote classification for twenty eight samples has demonstrated that the proposed method enables to identify not only the kind of a banknote but also its degree of weariness.
Keywords :
image recognition; learning (artificial intelligence); neural nets; banknote recognition; human continuous change simulation; human recognition model; Biological neural networks; Character recognition; Collaboration; Electronic mail; Handwriting recognition; Humans; Image recognition; Neural networks; Pattern matching; Pattern recognition; DBAL; SAL; banknote; pattern recognition; structured neural network;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
