• DocumentCode
    2079452
  • Title

    Benchmarking page segmentation algorithms

  • Author

    Randriamasy, S. ; Vincent, L.

  • Author_Institution
    Robotics Lab., Harvard Univ., Cambridge, MA, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    A method for automatically evaluating the quality of document page segmentation algorithms is introduced. Many different zoning techniques are now available but there is no robust method available to benchmark and evaluate them reliably. Our proposed strategy is a region-based approach, in which segmentation results are compared with manually generated “ground truth files”, describing all possible correct segmentations. A segmentation ground truthing scheme has been proposed. The evaluation of segmentation quality is achieved by testing the overlap between the two sets of regions. In fact, the regions are defined as the “black” pixels contained in the extracted polygons. An explicit specification of segmentation errors and a numerical evaluation are derived. The algorithm is simple and fast, and provides a multi-level output for each segmentation
  • Keywords
    image segmentation; optical character recognition; document page segmentation algorithms; extracted polygons; numerical evaluation; page segmentation algorithms; region-based approach; segmentation ground truthing scheme; zoning techniques; Image segmentation; Optical character recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323859
  • Filename
    323859