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National Academy Science Letters

, Volume 40, Issue 4, pp 273–277 | Cite as

A Novel Technique for Line Segmentation in Offline Handwritten Gurmukhi Script Documents

  • Munish Kumar
  • M. K. Jindal
  • R. K. Sharma
Short Communication
  • 78 Downloads

Abstract

Segmentation is an important step in Offline Handwritten Character Recognition (Offline HCR). Line segmentation is an important activity included in segmentation process. Line segmentation is a challenging task and it becomes even more challenging when one needs to segment lines in a skewed offline handwritten document. Improper segmentation decreases the recognition accuracy considerably. In this paper, strip based projection profile technique and smearing technique with contour tracing (proposed combination) have been used for line segmentation in offline handwritten Gurmukhi script documents. We have achieved an accuracy of 98.26% for line segmentation with proposed technique and an accuracy of 93.05% for line segmentation with strip based projection profile technique.

Keywords

Offline HCR Line segmentation Projection profile Strip based projection profile Smearing technique 

Notes

Acknowledgements

Authors are thankful to the “Department of Computer Science & Engineering” at the Thapar University, Patiala for providing the necessary facilities for carrying out this work. Authors are also thankful to the writers for writing the handwritten Gurmukhi script documents.

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Copyright information

© The National Academy of Sciences, India 2017

Authors and Affiliations

  1. 1.Department of Computer ApplicationsGZS Campus College of Engineering and Technology (Maharaja Ranjit Singh Punjab Technical University)BathindaIndia
  2. 2.Department of Computer Science and ApplicationsPanjab University Regional CentreMuktsarIndia
  3. 3.Department of Computer Science and EngineeringThapar UniversityPatialaIndia

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