• DocumentCode
    3242928
  • Title

    A Feature-Based Document Image Retrieval Method

  • Author

    Zhang, Tian

  • Author_Institution
    Shandong Normal Univ., Jinan
  • fYear
    2008
  • fDate
    22-24 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A document image retrieval method based on the paragraph feature combining up with the relative difference of local pixel distributions and high-dimensional data index structure is developed in the article .First, the definitions of paragraph feature and relative difference of local pixel distributions are given, then the extraction method is described in detail, so is the retrieval method based on the two features. As a global feature, the paragraph feature combined with the relative difference of local pixel distributions, which is a local feature, could describe the document image sufficiently and give a good distinguish. High-dimensional data index structure used in the method could greatly improve the velocity. Based on them, an efficient retrieval method is derived.
  • Keywords
    data structures; document image processing; feature extraction; image retrieval; data index structure; feature-based document image retrieval; local pixel distributions; paragraph feature; Data mining; Image retrieval; Information retrieval; Optical character recognition software; Pixel; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. CCPR '08. Chinese Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2316-3
  • Type

    conf

  • DOI
    10.1109/CCPR.2008.76
  • Filename
    4663029