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Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron

by Dharamveer Sharma, Ubeeka Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 8
Year of Publication: 2010
Authors: Dharamveer Sharma, Ubeeka Jain
10.5120/1503-2021

Dharamveer Sharma, Ubeeka Jain . Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron. International Journal of Computer Applications. 10, 8 ( November 2010), 10-16. DOI=10.5120/1503-2021

@article{ 10.5120/1503-2021,
author = { Dharamveer Sharma, Ubeeka Jain },
title = { Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 8 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number8/1503-2021/ },
doi = { 10.5120/1503-2021 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:10.377788+05:30
%A Dharamveer Sharma
%A Ubeeka Jain
%T Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 8
%P 10-16
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the development of Gurumukhi character recognition system of isolated handwritten characters by using Neocognitron at the first time. Well- known neocognitron artificial neural network is chosen for its fast processing time and its good performance for pattern recognition problems. Here we have found the recognition accuracy of both learned and unlearned images of characters. Learned images have recognition accuracy as 91.77 % and unlearned images have recognition accuracy as 93.79 %. The overall recognition accuracy for both learned and unlearned Gurmukhi characters are 92.78 %. This confirms that the proposed neocognitron artificial neural network approach is suitable for the development of isolated handwritten characters of Gurumukhi script.

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Index Terms

Computer Science
Information Sciences

Keywords

OCR Gurmukhi Script Neocognitron isolated handwritten character recognition

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