• DocumentCode
    493711
  • Title

    Document Image Registration Using Geometric Invariance and Hausdorff Distance

  • Author

    Sun, Chao ; Cai, Ronghai

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    725
  • Lastpage
    728
  • Abstract
    A new method of document image registration based on geometric invariance and Hausdorff distance is presented in this paper. Firstly, geometric invariance is used to obtain candidate feature points. Then Hausdorff distance is used to determine the final fine transformation between the input document image and the reference document image through the corresponding points set. Experiments indicate our method leads to accurate and robust registration, and can extract the filled-in information reliably.
  • Keywords
    document image processing; image registration; Hausdorff distance; document image registration; geometric invariance; reference document image; Automation; Chaos; Computer science; Computer science education; Data mining; Educational technology; Geometry; Image registration; Robustness; Sun; Hausdorff distance; document image registration; geometric invariance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.422
  • Filename
    4959137