• DocumentCode
    2766012
  • Title

    Connected Numeral Strings Segmentation Based on the Combination of Characteristic Position and Contour Detecting

  • Author

    Zhang, Tian ; Wang, Xi-chang ; Chen, Chang-hua ; Liu, Jiang

  • Author_Institution
    Shandong Normal Univ., Jinan, China
  • fYear
    2009
  • fDate
    7-9 March 2009
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    Segmentation of Connected numeral strings plays an important role in number recognition systems. A new method to segment two connected numeral strings is proposed in the article, we define characteristic position first, using it the graph-representation of the image is derived, based on this and using contour detecting we attain the candidate segmentation position pairs used for determining the segmentation path, then a criterion is applied to choose the best segmentation from the candidates. Finally, an experiment is conducted. The results reveal that the method proposed has high speed and good result.
  • Keywords
    graph theory; image recognition; image segmentation; object detection; contour detection; graph representation; number recognition systems; numeral string segmentation; Character recognition; Digital images; Image edge detection; Image recognition; Image segmentation; Joining processes; Partitioning algorithms; Pixel; Wiener filter; Characteristic position; Connected numeral strings segmentation; Contour detecting; segmentation pair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Processing, 2009 International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-3565-4
  • Type

    conf

  • DOI
    10.1109/ICDIP.2009.43
  • Filename
    5190617