• 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