• DocumentCode
    327765
  • Title

    Image-based form document retrieval

  • Author

    Liu, Jinhui ; Jain, A.K.

  • Author_Institution
    Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    626
  • Abstract
    We address the problem of image-based form document retrieval. The essential element of this problem is the definition of a similarity measure that is applicable in real situations, where query images are allowed to differ from the database images. Based on the definition of form signature, we have proposed a similarity measure that is insensitive to translation, scaling, moderate skew (<5°) and variations in the geometrical proportions of the form layout. This similarity measure also has a good tolerance to line detection errors. We have developed a prototype form retrieval system which has been tested on a database containing 100 different kinds of forms
  • Keywords
    document image processing; image retrieval; visual databases; form signature; image-based form document retrieval; line detection errors; query images; similarity measure; Computer science; Electronic switching systems; Government; Image databases; Image retrieval; Information retrieval; Prototypes; Read only memory; Spatial databases; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711221
  • Filename
    711221