• DocumentCode
    438972
  • Title

    A novel segmentation method of handwritten Chinese number character strings

  • Author

    Qiang, Cheng ; Yu-Jun, Sun ; De-Shen, Xia

  • Author_Institution
    Dept. of Comput., Nanjing Univ. of Sci. & Technol., China
  • Volume
    2
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    1123
  • Abstract
    In this paper, a two-stage approach consisting of coarse and fine segmentation is adopted. For the characters, whose vertical projections combine together, but they don´t connected themselves, we confine them in a window and segment them with a curve line which is acquired by connecting all the middle points in sequence. For the characters connected only by one stroke, firstly we find the candidate segmentation points on the candidate stroke in the image of the thinned character, and then determine the optimal point evaluated by the principles which are presented in this paper. The method mentioned above has been applied to the segmentation of Chinese bank check amounts and get good results.
  • Keywords
    handwritten character recognition; image segmentation; Chinese bank check amounts; candidate segmentation points; handwritten Chinese number character strings; novel image segmentation; Character recognition; Dynamic programming; Handwriting recognition; Image segmentation; Joining processes; Merging; Postal services; Skeleton; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1469002
  • Filename
    1469002