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ICSES Transactions on Image Processing and Pattern Recognition
Vol. 6, No. 1, Apr. 2020

A Slice-based Character Recognition Technique for Handwritten Devanagari Script

Original Paper
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a Aligarh Muslim University, Aligarh, India
b Kronos Solutions, Noida, India

 

Highlights and Novelties
1. Devanagari script is the third most widely used script in the world.

2. More than 500 million people use this script for several major languages such as Hindi, Sanskrit, Marathi and Nepali.

3. Very little work has been done in the area of handwritten Devanagari character recognition.

4. It helps in solving many real life problems like bank check processing, post offices and government offices in India where most of the applications and documents are written in Devanagari.

5. We have suggested a handwritten Devanagari character recognition method using the topological and geometrical features of the character.

 

Manuscript Abstract
The conventional Character Recognition for English character has been widely analyzed in the last few decades and now highly advanced for creating different technology driven applications. Indian languages which are relatively complicated in terms of geometrical shape are far behind from this perspective. Government office, library, bank and publishing houses now prefer digital document processing to make their services fast and economical. Devanagari is the official script (Hindi language) of India, and spoken by major population of the country. Many researchers have shown interest mainly on recognition of digitally printed Devanagari character. However, very little work has been done in the area of handwritten Devanagari character recognition. Therefore, there is a need to focus in this handwritten Devanagari character recognition as it will help in solving many real life problems like bank check processing, post offices and government offices in India where most of the applications and documents are written in Devanagari characters. In this paper, we have suggested a handwritten Devanagari character recognition method using the topological and geometrical features of the character. First, we cut the characters into slices and then with the help of a slice or a set of slices a feature set is formed to uniquely identify a character. The experimental result shows that the proposed method provides more than 82% accuracy which is quite better than many existing methods.

 

Keywords
 Devanagari Character Recognition   Pattern Recognition   Feature Extraction   Image Processing 

 

Copyright and Licence
Copyright © by the authors. Licensee International Computer Science and Engineering Society (ICSES). This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0) license, supported by creativecommons.orgcall_made

 

Cite this manuscript as
Md. Asraful Haque, Babbar Imam, "A Slice-based Character Recognition Technique for Handwritten Devanagari Script," ICSES Transactions on Image Processing and Pattern Recognition, vol. 6, no. 1, pp. 1-7, Apr. 2020.

 

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Manuscript ID: 355
Pages: 1-7
Submitted: 2020-03-15
Revised: 2020-04-15
Accepted: 2020-04-17
Published: 2020-04-30

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Journal's Title
ITIPPR Cover Page

Journal

ICSES Transactions on Image Processing and Pattern Recognition
ISSN: 2645-8071
ISSN: 2645-8071
Frequency: Quarterly
Accessability: Online - Open Access
Founded in: Mar. 2015
Publisher: ICSES
DOI Suffix: 10.31424/icses.itippr
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