• DocumentCode
    1634950
  • Title

    Handwritten Text Line Segmentation by Shredding Text into its Lines

  • Author

    Nicolaou, A. ; Gatos, B.

  • Author_Institution
    Technol. Educ. Inst. of Athens, Athens, Greece
  • fYear
    2009
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    In this paper, we propose a novel technique to segment handwritten document images into text lines by shredding their surface with local minima tracers. Our approach is based on the topological assumption that for each text line, there exists a path from one side of the image to the other that traverses only one text line. We first blur the image and then use tracers to follow the white-most and black-most paths from left to right as well as from right to left in order to shred the image into text line areas. We experimentally tested the proposed methodology and got promising results comparable to state of the art text line segmentation techniques.
  • Keywords
    document image processing; handwritten character recognition; image segmentation; text analysis; topology; handwritten document image; handwritten text line segmentation; image segmentation; local minima tracer; text line area; topological assumption; Educational technology; Handwriting recognition; Image analysis; Image recognition; Image segmentation; Informatics; Pipelines; Strips; Text analysis; Text recognition; handwritten documents; historical documents; text line segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.243
  • Filename
    5277573