Character Segmentation and Skew Correction for Handwritten Devanagari Scripts: A Friends Technique

Authors

  • Ashok Kumar Bathla Research Scholar, I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India
  • Sunil Kumar Gupta Associate Professor, Beant College of Engineering and Technology, Gurdaspur, Punjab, India
  • Manish Kumar Jindal Professor, P.U. Regional Centre, Muktsar, Punjab, India

DOI:

https://doi.org/10.51983/ajeat-2019.8.1.1060

Keywords:

Segmentation, Compound Character, Devanagari

Abstract

Optical Character Recognition (OCR) technology allows a computer to “read” text (both typed and handwritten) the way a human brain does.Significant research efforts have been put in the area of Optical Character Segmentation (OCR) of typewritten text in various languages, however very few efforts have been put on the segmentation and skew correction of handwritten text written in Devanagari which is a scripting language of Hindi. This paper aims a novel technique for segmentation and skew correction of hand written Devanagari text. It shows the accuracy of 91% and takes less than one second to segment a particular handwritten word.

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Published

18-02-2019

How to Cite

Ashok Kumar Bathla, Sunil Kumar Gupta, & Jindal, M. K. (2019). Character Segmentation and Skew Correction for Handwritten Devanagari Scripts: A Friends Technique. Asian Journal of Engineering and Applied Technology, 8(1), 50–54. https://doi.org/10.51983/ajeat-2019.8.1.1060