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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
  1. Chih-Chung Chang and Chih-Jen Lin LIBSVM : A Library of Support Vector Machine software available at http://www. csie. ntu. edu. tw/~cjlin/libsvm/
  2. Rafael M. O. Cruz, George D. C. Cavalcanti and Tsang Ing Ren " An Ensemble Classifier For Offline Cursive Character Recognition Using Multiple Feature Extraction Techniques" 978-1-4244-8126-2/10/$26. 00 ©2010 IEEE
  3. L R Ragha, M Sasikumar "using moment feature for gabor directional image for kannada handwritten character recognition" International Conference and Workshop on Emerging Trends in Technology (ICWET 2010) – TCET, Mumbai, India
  4. Xuewen Wang Xiaoqing Ding ,Changsong Liu "Gabor filters- based feature extraction on character recognition" pattern recognition 38 (2005) 369-379.
  5. Naveen Garg "Handwritten Gurmukhi Numeral Recognition using Nueral Network " M. tech Thesis, Thapar University, Patiala
  6. Arif Billah Al-Mahmud Abdullah and Mumit Khan " a survey on script segmentation for bangla ocr" Working Papers 2004-2007.
  7. Mahesh Jangid Kartar Singh, Renu Dhir Rajneesh Rani "Performance Comparison on Devanagari Handwritten Numeral Recognition" International Journel of Computer Application (0975-8887) volume-22 No. -1, May 2011 .
  8. Statsoft electronic statistic textbook creator of statistica data analysis and service http://www. statsoft. com/ textbook/support-vector machines/
  9. Poulami Das Suchandra Paul Ranjit Ghoshal "Recognition of Bangla Basic Characters using Multiple Classifiers"Handwritten Numeral/Mixed Numerals Recognition of South Indian: Zona based Feature Extraction Method", 978-1-4577-1386-611$26. 00©2011 IEEE
  10. Sushama Shelke, Shaila Apte "A Multistage Handwritten Marathi Compound Character Recognition Scheme using Neural Networks and Wavelet Features" International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 4, No. 1, March 2011
  11. Shailedra Kumar Shrivastava, Sanjay S. Gharde " Support Vector Machine for Handwritten Devanagari Numeral Recognion " International Journel of Computer Application (0975-8887) Volume 7-No. 11,October 2010
  12. Pritpal singh*, sumit budhiraja, " Feature Extraction and Classification Techniques in O. C. R. Systems for handwritten Gurmukhi Script – A Survey " , International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 Vol. 1, Issue 4, pp. 1736-1739
  13. Kartar Singh Siddharth Renu Dhir Rajneesh Rani "Handwritten Gurmukhi Numeral Recognition using Different Feature Sets" International Journal of Computer Application (0975-8887) Vol. 28 No. -2 , August 2011
  14. H. Swethalakshmi, Anita Jayaraman, V. srinivasa Chakravarthy , C. Chandra Sekhar , "Online Handwritten Recognition of Devanagari and Telgu Character using Support Vector machine".
  15. Omid Rashnodi, Hedieh Sajedi , Mohammad Saniee "Using Box Approach in Persian Handwritten Digits Recognition" International Journal of Computer Applications (0975 – 8887) Volume 32– No. 3, October 2011
Index Terms

Computer Science
Information Sciences

Keywords

Gurmukhi Script Image Processing Pattern Recognition Svm

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