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Handwritten Devanagari Character Recognition System: A Review

by Sonal Khare, Jaiveer Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 9
Year of Publication: 2015
Authors: Sonal Khare, Jaiveer Singh
10.5120/21566-4600

Sonal Khare, Jaiveer Singh . Handwritten Devanagari Character Recognition System: A Review. International Journal of Computer Applications. 121, 9 ( July 2015), 10-14. DOI=10.5120/21566-4600

@article{ 10.5120/21566-4600,
author = { Sonal Khare, Jaiveer Singh },
title = { Handwritten Devanagari Character Recognition System: A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 9 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number9/21566-4600/ },
doi = { 10.5120/21566-4600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:59.012415+05:30
%A Sonal Khare
%A Jaiveer Singh
%T Handwritten Devanagari Character Recognition System: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 9
%P 10-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

India is a multi-lingual country consisting of eleven different scripts. Hindi is third most widely used language after English and Chinese. Hindi, the national language of India, is written in the Devanagari script. Devanagari script is also used for other languages such as Sanskrit, Marathi and Nepali. In India, Devanagari script is used by more than 500 million people for documentation. Devanagari script should be given special attention so that analysis of ancient Indian literature can be effectively done. Lot of work has been done in handwritten character recognition and lot of work is to be done. This paper presents a detailed analysis of research work related to devanagari character recognition. This paper presents comprehensive survey of handwritten character recognition system using different features of character and classifiers used.

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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten character recognition off-line character recognition Feature extraction Segmentation OCR classifier.

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