Word Grouping in Document Images Based on Voronoi Tessellation

  • Yue Lu
  • Zhe Wang
  • Chew Lim Tan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

Voronoi tessellation of image elements provides an intuitive and appealing definition of proximity, which has been suggested as an effective tool for the description of relations among the neighboring objects in a digital image. In this paper, a Voronoi tessellation based method is presented for word grouping in document images. The Voronoi neighborhoods are generated from the Voronoi tessellation, with the information about the relations and distances of neighboring connected components, based on which word grouping is carried out. The proposed method has been evaluated on a variety of document images. The experimental results show that it has achieved promising results with a high accuracy, and is robust to various font types, styles, sizes, skew angles, as well as different text orientations.

Keywords

Voronoi Diagram Document Image Text Line Image Element Voronoi Tessellation 
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 2004

Authors and Affiliations

  • Yue Lu
    • 1
    • 2
  • Zhe Wang
    • 2
  • Chew Lim Tan
    • 2
  1. 1.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina
  2. 2.Department of Computer Science, School of ComputingNational University of SingaporeKent RidgeSingapore

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