Text-Line Extraction as Selection of Paths in the Neighbor Graph

  • Koichi Kise
  • Motoi Iwata
  • Andreas Dengel
  • Keinosuke Matsumoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1655)


This paper presents a new method of text-line extraction which can be applied to tilted non-rectangular pages. The method is characterized as follows. As the representation of physical structure of a page, we propose the neighbor graph which represents neighbors of connected components. The use of the area Voronoi diagram enables us to extract neighbors without predetermined parameters. Based on the neighbor graph, the task of text-line extraction is considered to be the selection of its paths appropriate as text-lines. We apply simple iterative selection of edges with local examination so as to reduce the computational cost. From experimental results for 50 pages with rectangular and non-rectangular layout, we discuss advantages and limitations of our method.


Voronoi Diagram Neighbor Graph Neighbor Relation Voronoi Region Connected Component Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Koichi Kise
    • 1
  • Motoi Iwata
    • 1
  • Andreas Dengel
    • 2
  • Keinosuke Matsumoto
    • 1
  1. 1.Department of Computer and Systems Sciences College of EngineeringOsaka Prefecture UniversityGermany
  2. 2.German Research Center for Artificial Intelligence (DFKI, GmbH)KaiserslauternGermany

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