DocumentCode :
2297295
Title :
Research on banknote image orientation based on least square
Author :
Wu, Qinghong ; Zhang, Ying ; Liu, Yong
Author_Institution :
Univ. of Sci. & Technol. LiaoNing, Anshan, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2983
Lastpage :
2987
Abstract :
Banknote sorting is an important operation in the bank. The banknote image orientation plays an key role in banknote recognition. In this paper, the theory of least square is researched deeply and is used in banknote orientation. Its properties and application circumstances are summed up by experiments.
Keywords :
banking; image recognition; least squares approximations; banknote image orientation; banknote recognition; banknote sorting; least square; Automation; Educational institutions; Histograms; Image recognition; Intelligent control; Neural networks; Sorting; banknote sorting; least square; orientation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358382
Filename :
6358382
Link To Document :
بازگشت