Paper Info
Title
A Real-Time Template Generation Algorithm to Identify RMB Crest Number
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.
Year
DOI
Venue
2013
10.1109/INCoS.2013.137
INCoS
Keywords
Field
DocType
templete,secondly corresponding template set,high-speed rmb-banknote moving environment,character bitmap,character segmentation,high-speed rmb-banknote,identification research literature,real-time template generation algorithm,image segmentation,character recognition,morphology processing,binarization,identify rmb crest number,rmb images,rmb-banknote crest number identification,banking,rmb-banknote,crest number,highly normalization,maximum difference principle,tilt correction,templates set,currency detector,current rmb-banknote crest number,identify,final template,cis
Crest,Normalization (statistics),Character recognition,Computer science,Segmentation,Algorithm,Image segmentation,Bitmap,Template,Detector
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Gaoyu Zhang111.06
Yingying Wang22111.64