• DocumentCode
    2389259
  • Title

    Dynamical morphological processing: a fast method for base line extraction

  • Author

    Said, J.N. ; Cheriet, M. ; Suen, C.Y.

  • Author_Institution
    Ecole de Technol. Superieure, Quebec Univ., Montreal, Que., Canada
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    8
  • Abstract
    In most document analysis and recognition systems, straight lines are considered as one of the basic elements that should be located and eliminated to simplify the process of document analysis and recognition. The superposition or the intersection of different objects of interest found in the same area makes the process of detecting and extracting these line segments a non-trivial task to pursue, especially, if the method should preserve the valuable objects of interest that intersect with these lines. In this paper, we present a new and effective approach that detects the existence of line segments and eliminates them with the challenge of preserving the valuable information that intersects these line segments. The new approach makes use of the well-known morphological processing technique of the closing operation, that uses a fixed structuring element, towards the use of a dynamic structuring element. The purpose of the new dynamic structuring element is to detect and preserve the valuable objects intersecting the line segments that should be eliminated regardless of the different orientations with which the objects intersect these line segments
  • Keywords
    document image processing; feature extraction; image segmentation; base line extraction; closing operation; document analysis; document recognition; dynamic structuring; dynamical morphological processing; fixed structuring element; straight lines; valuable objects; Detectors; Image enhancement; Image restoration; Image segmentation; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546714
  • Filename
    546714