• DocumentCode
    322742
  • Title

    A fault tolerant Chinese bank check recognition system

  • Author

    Song, Wang ; Bin, Zhao ; Feng, Ma ; Tao, Zhang ; Gengjian, MA ; Shaowei, Xia

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    1164
  • Abstract
    In this paper, a practical fault-tolerant Chinese bank check recognition system is presented and analyzed in detail. The first part discusses some preprocessing technologies including software-location of the scanned check skew correction of each sub-image containing various numeral strings and segmentation of these strings. Then, a high performance SOM classifier is adopted as the classifier to the segmented numerals. After that, a new idea of fault-tolerant recognition is proposed and the post-processing method is introduced. This system reaches high accuracy and high reliability simultaneously
  • Keywords
    bank data processing; fault tolerant computing; image segmentation; optical character recognition; fault tolerant Chinese bank check recognition system; image segmentation; preprocessing technologies; reliability; Automation; Color; Fault tolerance; Fault tolerant systems; Forgery; Handwriting recognition; Image recognition; Optical character recognition software; Paper technology; Seals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.669171
  • Filename
    669171