• DocumentCode
    457061
  • Title

    Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images

  • Author

    Shafait, Faisal ; Keysers, Daniel ; Breuel, Thomas M.

  • Author_Institution
    Image Understanding & Pattern Recognition Res. Group, German Res. Center for Artificial Intelligence, Kaiserslautern
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    872
  • Lastpage
    875
  • Abstract
    This paper presents a new representation and evaluation procedure of page segmentation algorithms and analyzes six widely-used layout analysis algorithms using the procedure. The method permits a detailed analysis of the behavior of page segmentation algorithms in terms of over- and undersegmentation at different layout levels, as well as determination of the geometric accuracy of the segmentation. The representation of document layouts relies on labeling each pixel according to its function in the overall segmentation, permitting pixel-accurate representation of layout information of arbitrary layouts and allowing background pixels to be classified as "don\´t care". Our representations can be encoded easily in standard color image formats like PNG, permitting easy interchange of segmentation results and ground truth
  • Keywords
    document image processing; image representation; image segmentation; document images; document layout representation; page segmentation; pixel-accurate representation; Algorithm design and analysis; Artificial intelligence; Color; Image analysis; Image segmentation; Labeling; Measurement; Pattern analysis; Pattern recognition; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.934
  • Filename
    1699028