DocumentCode :
3325626
Title :
A rapid detection method for denomination and orientation of dollars
Author :
He Jian-Biao ; Hu Zhi-Gang ; Zhang Jian ; Jin Ou ; Jiang Xiang-Tao
Author_Institution :
Coll. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
696
Lastpage :
700
Abstract :
It is a very crucial part of note receiver to recognize the version, nominal value and orientation of a note. The existing methods often do the operation and the authentication recognition simultaneously, which is after the currency feature collection. Considering that the counterfeit note is very similar with the genuine one, for extracting it with the authentication operation, a rapid method is proposed to recognize the note´s version, nominal value and orientation, which do the discrimination while collecting the image features. This method can help reduce the feature dimensions and the computation on authentication identification, which is significant in promoting the identification speed of the note receiver and the authentication accuracy.
Keywords :
feature extraction; financial data processing; image recognition; authentication accuracy; authentication identification; authentication recognition; dollar denomination; dollar orientation; feature dimensions reduction; image feature collection; note nominal value recognition; note orientation recognition; note receiver; note version recognition; rapid detection method; Authentication; Character recognition; Feature extraction; Gray-scale; Image recognition; Neural networks; currency recognition; fisher method; image process; pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/IMSNA.2013.6743371
Filename :
6743371
Link To Document :
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