• DocumentCode
    1925861
  • Title

    Automatic Seal Information Reader

  • Author

    Nourbakhsh, Farshad ; Pati, Peeta Basa ; Ramakrishnan, A.G.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore
  • fYear
    2007
  • fDate
    5-7 March 2007
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    Seals contain a lot of vital information about the document. Seal detection is a necessary step to gain access to that information. In the present paper, we present a correlation based technique which exploits the existence of some constant character strings and their topology for detection of seals. We also present a technique which separates the false positives from the actual seals. We achieved an accuracy of about 98% for extraction of such kind of seals. Once the seal is extracted from a page image, an OCR has been employed to read the contextual information present in the seal. A knowledge based post-processing step is employed to enhance the accuracy of the recognized text strings
  • Keywords
    document image processing; optical character recognition; automatic seal information reader; optical character recognition; Colored noise; Data mining; Image analysis; Information analysis; Laboratories; Optical character recognition software; Seals; Text analysis; Text recognition; Topology; Connected Component Analysis (CCA); document image; seal detection; triangulation.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    0-7695-2770-1
  • Type

    conf

  • DOI
    10.1109/ICCTA.2007.33
  • Filename
    4127420