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Comparative Study of Segmentation and Recognition Methods for Handwritten Devnagari Script

by Swati Kinhekar, Sharvari S. Govilkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 9
Year of Publication: 2014
Authors: Swati Kinhekar, Sharvari S. Govilkar
10.5120/18408-9684

Swati Kinhekar, Sharvari S. Govilkar . Comparative Study of Segmentation and Recognition Methods for Handwritten Devnagari Script. International Journal of Computer Applications. 105, 9 ( November 2014), 34-39. DOI=10.5120/18408-9684

@article{ 10.5120/18408-9684,
author = { Swati Kinhekar, Sharvari S. Govilkar },
title = { Comparative Study of Segmentation and Recognition Methods for Handwritten Devnagari Script },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 9 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number9/18408-9684/ },
doi = { 10.5120/18408-9684 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:18.489450+05:30
%A Swati Kinhekar
%A Sharvari S. Govilkar
%T Comparative Study of Segmentation and Recognition Methods for Handwritten Devnagari Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 9
%P 34-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Script recognition systems for various languages have gain importance in recent decades and are the area of deep interest for many researchers. English Character Recognition (CR) has been extensively studied in the last half century and progressed to a level, sufficient to produce technology driven applications. But same is not the case for Indian languages which are complicated in terms of structure and computations. Indian scripts present great challenges to an OCR designer due to the large number of letters in the alphabet, the sophisticated ways in which they combine, and the complicated graphemes they result in. Devnagari(Hindi) being the national language of India, spoken by more than 500 million people, should be given special attention so that document retrieval and analysis of rich ancient and modern Indian literature can be effectively done. This article is intended to serve as a guide and update for the readers, working in the Handwritten Devanagari Script Recognition (HDSR) area. An overview of HDSR systems is presented and the available HDSR techniques are reviewed. The current status of HDSR is discussed and directions for future researches are suggested.

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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten Devnagari Character Recognition Preprocessing Segmentation Feature Extraction Recognition Classification.

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