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Minimum-cost path algorithm for separating touching characters

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

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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