DocumentCode :
3513499
Title :
A Real-Time Template Generation Algorithm to Identify RMB Crest Number
Author :
Gaoyu Zhang ; Yingying Wang
Author_Institution :
Sch. of Inf. Manage., Shanghai Finance Univ., Shanghai, China
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
712
Lastpage :
715
Abstract :
On the basis of reviewing the current RMB-banknote crest number identification research literature, a real-time template generation algorithm to identify crest number in high-speed RMB-banknote moving environment is proposed. Firstly enough complete RMB images should be collected in currency detector equipped with CIS, then the area of crest number should be dug out and processed with tilt correction, binarization, morphology processing, character segmentation and highly normalization. Secondly corresponding template set should be generated to each character bitmap and then according to the principle of maximum difference, five character bitmap should be jetted out from the templates set, forming final template simplified set. Finally, the data and analysis of the real-time identification effect applied with this template are provided.
Keywords :
banking; character recognition; image segmentation; CIS; RMB images; RMB-banknote crest number identification; binarization; character bitmap; character segmentation; currency detector; high-speed RMB-banknote moving environment; highly normalization; maximum difference principle; morphology processing; real-time template generation algorithm; tilt correction; Detectors; Educational institutions; Electron tubes; Feature extraction; Image edge detection; Real-time systems; Wheels; RMB-banknote; crest number; identify; templete;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2013 5th International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/INCoS.2013.137
Filename :
6630519
Link To Document :
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