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A survey of non-thinning based vectorization methods

  • Liu Wenyin
  • Dov Dori
Document Image Analysis and Recognition
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

Abstract

We survey the methods developed up to date for crude vectorization of document images. We classify them into six categories: thinning based, Hough Transform based, contour-based, run-graph based, mesh-pattern based, and sparse pixel based. The crude vectorization is a relatively mature subject in the Document Analysis and Recognition field, though there are rooms to improve. The purpose of the survey is to provide researchers with a comprehensive overview of this technique for them to choose a suitable method when developing their vectorization algorithms and systems.

Keywords

Vectorization Document Analysis and Recognition Polygonalization 
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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Liu Wenyin
    • 1
  • Dov Dori
    • 1
  1. 1.Faculty of Industrial Engineering and ManagementTechnion-Israel Institute of TechnologyHaifaIsrael

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