• 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