Minimum-cost path algorithm for separating touching characters

  • Duk Ryong Lee*
  • , Il Seok Oh
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    The paper proposes an algorithm which finds a nonlinear cut path for a greyscale touching character image. It proposes a new penalizing rule which is probable to guide correctly the cut path for touching situations difficult to separate. Additionally the algorithm adopts a strategy of producing both the downward and upward paths and selecting better one. The experimental results on actual touching character images showed that the proposed algorithm was superior to conventional algorithms.

    Original languageEnglish
    Title of host publicationProceedings of the 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010
    Pages164-168
    Number of pages5
    StatePublished - 2010
    Event7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010 - Innsbruck, Austria
    Duration: 2010.02.172010.02.19

    Publication series

    NameProceedings of the 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010

    Conference

    Conference7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010
    Country/TerritoryAustria
    CityInnsbruck
    Period10.02.1710.02.19

    Keywords

    • Document images
    • Greedy algorithm
    • Minimum-cost path
    • Optical character recognition (OCR)
    • Touching characters

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Communication & Media Studies
    • Data Science

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