DocumentCode
504369
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
fYear
2009
fDate
18-21 Aug. 2009
Firstpage
5347
Lastpage
5350
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;
fLanguage
English
Publisher
ieee
Conference_Titel
ICCAS-SICE, 2009
Conference_Location
Fukuoka
Print_ISBN
978-4-907764-34-0
Electronic_ISBN
978-4-907764-33-3
Type
conf
Filename
5333241
Link To Document