Segmentation of Handwritten Text Document Written in Devanagri Script for Simple character, skewed character and broken character

Authors

  • Vneeta Rani Gurukashi University Talwandi Sabo.
  • Dr.Vijay laxmi Gurukashi University Talwandi Sabo.

DOI:

https://doi.org/10.24297/ijct.v8i1.3427

Keywords:

OCR, Segmentation, Character segmentation, Broken character segmentation, Skewed character segmentation, Devnagari script

Abstract

OCR (optical character recognition) is a technology that is commonly used for recognizing patterns artificial intelligence & computer machine. With the help of OCR we can convert scanned document into editable documents which can be further used in various research areas. In this paper, we are presenting a character segmentation technique that can segment simple characters, skewed characters as well as broken characters. Character segmentation is very important phase in any OCR process because output of this phase will be served as input to various other phase like character recognition phase etc. If there is some problem in character segmentation phase then recognition of the corresponding character is very difficult or nearly impossible.

Downloads

Download data is not yet available.

Author Biographies

Vneeta Rani, Gurukashi University Talwandi Sabo.

M.Tech. Final Year Student, Department of Computer Science

Dr.Vijay laxmi, Gurukashi University Talwandi Sabo.

Associate Professor, Department of Computer Science

Downloads

Published

2013-06-20

How to Cite

Rani, V., & laxmi, D. (2013). Segmentation of Handwritten Text Document Written in Devanagri Script for Simple character, skewed character and broken character. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 8(1), 686–691. https://doi.org/10.24297/ijct.v8i1.3427

Issue

Section

Research Articles