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Handwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques

by Gita Sinha, Rajneesh Rani, Renu Dhir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 21
Year of Publication: 2012
Authors: Gita Sinha, Rajneesh Rani, Renu Dhir
10.5120/7474-0530

Gita Sinha, Rajneesh Rani, Renu Dhir . Handwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques. International Journal of Computer Applications. 47, 21 ( June 2012), 24-29. DOI=10.5120/7474-0530

@article{ 10.5120/7474-0530,
author = { Gita Sinha, Rajneesh Rani, Renu Dhir },
title = { Handwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 21 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number21/7474-0530/ },
doi = { 10.5120/7474-0530 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:54.467494+05:30
%A Gita Sinha
%A Rajneesh Rani
%A Renu Dhir
%T Handwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 21
%P 24-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an overview of Feature Extraction techniques for off-line recognition of isolated Gurumukhi numerals/characters. Selection of Feature Extraction method is probably the single most important factor in achieving high performance in pattern recognition. Our paper presents Zone based hybrid approach which is the combination of image centroid zone and zone centroid zone of numeral/character image. In image centroid zone character is divided into n equal zone and then image centroid and the average distance from character centroid to each zones/grid/boxes present in image is calculated. Similarly, in zone centroid zone character image is divided into n equal zones and centroid of each zones/boxes/grid and average distance from zone centroid to each pixel present in block/zone/grid is calculated. SVM for subsequent classifier and recognition purpose. Obtaining 99. 73% recognition accuracy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gurmukhi Script Image Processing Pattern Recognition Svm

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