Application of Image Processing Technology in Paper Currency Classification System

Author

Li, Wenhong ; Li, Yonggang ; Luo, Kexue

Author_Institution

Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao

fYear

2008

fDate

22-24 Oct. 2008

Firstpage

1

Lastpage

5

Abstract

The processing effect and recognition accuracy of RMB is an important part in the paper currency classification system. According to the characteristics of RMB images, the paper uses the theory of digital image processing and pattern recognition to put forward the method of RMB image processing based on the processing and recognition of the part of the RMB serial numbers, the arithmetic of linear perception based on rewards and punishment method and the extraction method of serial numbers character. Through the experiment on the paper currency classification system which uses the CIS sensor as the image acquisition, it testifies that this method of recognition has a high feasibility and recognition accuracy.

Keywords

foreign exchange trading; image classification; pattern recognition; CIS sensor; RMB image processing; RMB images; RMB serial numbers; digital image processing; image acquisition; image processing technology; linear perception; paper currency classification system; pattern recognition; recognition accuracy; Character recognition; Computational Intelligence Society; Digital arithmetic; Digital images; Image processing; Image recognition; Image sensors; Paper technology; Pattern recognition; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. CCPR '08. Chinese Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2316-3

Type

conf

DOI

10.1109/CCPR.2008.96

Filename

4663049