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

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 8, Issue 1

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.

Authors and Affiliations

Vneeta Rani, Dr. Vijay laxmi

Keywords

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  • EP ID EP650084
  • DOI 10.24297/ijct.v8i1.3427
  • Views 90
  • Downloads 0

How To Cite

Vneeta Rani, Dr. Vijay laxmi (2013). Segmentation of Handwritten Text Document Written in Devanagri Script for Simple character, skewed character and broken character. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 8(1), 686-691. https://europub.co.uk./articles/-A-650084