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Parallel Layer Scanning Based Fast Dot/Dash Line Detection Algorithm for Large Scale Binary Document Images

  • Chinthaka PremachandraEmail author
  • H. Waruna H. Premachandra
  • Chandana D. Parape
  • Hiroharu Kawanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8814)

Abstract

A fast dot/dash line detection method suitable for large scale binary document images is proposed. The method works by reducing the number of scanned pixels used for the detection process. In the new method, pixels in vertical image layers with only a constant spacing are scanned. By using this technique, the computational time can be reduced because some of the uninteresting objects in the image can easily be omitted in the scanning stage. The new method is faster than the conventional method not only due to its scanning method but it also due to the simple process used for detecting dot/dash lines. A dot/dash line is detected by selecting a small defined image domain from the large scale image. We evaluated the new method against conventional methods on appropriate document images and found an improved processing time without any significant loss of line detection ability.

Keywords

Parallel layer scanning Large scale image Processing time reduction Dot/dash line detection Local image domain analysis 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chinthaka Premachandra
    • 1
    Email author
  • H. Waruna H. Premachandra
    • 2
  • Chandana D. Parape
    • 3
  • Hiroharu Kawanaka
    • 4
  1. 1.Department of Electrical Engineering, Graduate School of EngineeringTokyo University of ScienceKatsushika-ku, TokyoJapan
  2. 2.ICT CenterWayamba University of SrilankaMakaduraSrilanka
  3. 3.Graduate School of EngineeringKyoto UniversityKyotoJapan
  4. 4.Graduate School of EngineeringMie University, TsuMieJapan

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