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Recursive Projection Profiling for Text-Image Separation

  • Shivsubramani Krishnamoorthy
  • R. Loganathan
  • K P Soman
Conference paper

Abstract

This paper presents an efficient and very simple method for separating text characters from graphical images in a given document image. This is based on a Recursive Projection Profiling (RPP) of the document image. The algorithm tries to use the projection profiling method [4] [6] to its maximum bent to bring out almost all that is possible with the method. The projection profile reveals the empty space along the horizontal and vertical axes, projecting the gaps between the characters/images. The algorithm turned out to be quite efficient, accurate and least complex in nature. Though some exceptional cases were encountered owing to the drawbacks of projection profiling, they were well handled with some simple heuristics thus resulting in a very efficient method for text-image separation.

Keywords

Document Image Graphical Image Simple Heuristic Character Segmentation Pixel Density 
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 Science+Business Media B.V. 2010

Authors and Affiliations

  • Shivsubramani Krishnamoorthy
    • 1
  • R. Loganathan
    • 1
  • K P Soman
    • 1
  1. 1.Centre for Excellence in Computational EngineeringAmrita UniversityCoimbatoreIndia

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