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A Histogram-Based Approach to Mathematical Line Segmentation

  • Mohamed Alkalai
  • Volker Sorge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8258)

Abstract

In document analysis line segmentation is a necessary prerequisite step for further analysing of textual components. While much work has been devoted to line segmentation of regular text documents, this work can not be easily adopted to documents that contain specialist components such as tables or mathematical expressions. In this paper we concentrate on a line segmentation technique for documents containing mathematical expressions, which, due to their two dimensional structure are often comprised of multiple distinct lines. We present an approach to line segmentation in the presence of mathematics that is based on a set of histogram measures and heuristics considering vertical and horizontal distances of characters only. The method also provides a technique to distinguish consecutive lines that are vertically overlapped but belong to different mathematical expressions. Experiments on data sets of 200 and 1000 maths pages, respectively, show a high rate of accuracy.

Keywords

Mathematical Expression Horizontal Distance Height Ratio Text Line Principal Line 
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 2013

Authors and Affiliations

  • Mohamed Alkalai
    • 1
  • Volker Sorge
    • 1
  1. 1.School of Computer ScienceUniversity of BirminghamUK

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