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Performance Scrutiny of Thinning Algorithms on Printed Gujarati Characters and Handwritten Numerals

  • Sanket B. Suthar
  • Rahul S. Goradia
  • Bijal N. Dalwadi
  • Sagar M. Patel
  • Sandip Patel
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 9)

Abstract

We analyze the behavior of most common thinning algorithms on printed Gujarati text and handwritten numerals. We are focusing mostly on two types of algorithms: The first is serial thinning and second is parallel thinning. Thinning is more crucial when we focusing on structural feature-based character recognition. Thinned character reduced complication of the shape of the character. This analysis focuses on the actual result we get after applying serial and parallel thinning algorithms. Total five algorithms are used for experiments and applied on small, medium, big size of character data and on skewed character data. The results are useful where we designing classifiers for Gujarati text.

Keywords

Gujarati text Handwritten numerals Thinning OCR Algorithms 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sanket B. Suthar
    • 1
  • Rahul S. Goradia
    • 2
  • Bijal N. Dalwadi
    • 3
  • Sagar M. Patel
    • 1
  • Sandip Patel
    • 1
  1. 1.Department of Information TechnologyCharotar University of Science and TechnologyChangaIndia
  2. 2.Department of Electronics and CommunicationG. H. Patel College of Engineering and TechnologyAnandIndia
  3. 3.Department of Information TechnologyBirla Vishvakarma MahavidyalayaAnandIndia

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