CFP last date
20 June 2024
Reseach Article

OCR for Handwritten Gurmukhi Script using Daubechies Wavelet Transforms

by Pritpal Singh, Sumit Budhiraja
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 10
Year of Publication: 2012
Authors: Pritpal Singh, Sumit Budhiraja
10.5120/6817-9173

Pritpal Singh, Sumit Budhiraja . OCR for Handwritten Gurmukhi Script using Daubechies Wavelet Transforms. International Journal of Computer Applications. 45, 10 ( May 2012), 25-28. DOI=10.5120/6817-9173

@article{ 10.5120/6817-9173,
author = { Pritpal Singh, Sumit Budhiraja },
title = { OCR for Handwritten Gurmukhi Script using Daubechies Wavelet Transforms },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number10/6817-9173/ },
doi = { 10.5120/6817-9173 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:37:17.297836+05:30
%A Pritpal Singh
%A Sumit Budhiraja
%T OCR for Handwritten Gurmukhi Script using Daubechies Wavelet Transforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 10
%P 25-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an OCR (Optical Character Recognition) for handwritten Gurmukhi characters. Gurmukhi script is used for Punjabi language, which is the world's 14th most widely spoken language. The scanned images of the handwritten characters are used as input to this OCR system and the output is the computer editable format. The proposed method uses different Daubechies Discrete Wavelet Transforms for extraction of features and back propagation for recognition task. In this paper, approximately four hundred samples of first five characters of Gurmukhi script are used to train the back propagation neural network and approximately one hundred samples are used for testing. The recognition rates achieved using different Daubechies Discrete Wavelet Transforms are compared. An average accuracy of 93. 41% is achieved.

References
  1. O. D. Trier, A. K. Jain and T. Text, "Feature Extraction Methods for Character Recognition- A Survey", Pattern Recognition, Vol. 29, No. 4, pp. 641-662, 1996.
  2. Raju G. , "Wavelet Transform and Projection Profiles in Handwritten Character Recognition – A Performance Analysis", IEEE, pp. 309-314, 2008.
  3. Puneet Jhajj, D. Sharma, "Recognition of Isolated Handwritten Characters in Gurmukhi Script", International Journal of Computer Applications, Vol. 4, No. 8, 2010.
  4. Ubeeka Jain, D. Sharma, "Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron", International Journal of Computer Applications, Vol. 10, No. 8, 2010.
  5. Kartar Singh Siddharth , Mahesh Jangid, Renu Dhir, Rajneesh Rani, "Handwritten Gurmukhi Character Recognition Using Statistical and Background Directional Distribution Features", International Journal on Computer Science and Engineering, Vol. 3 No. 6 June 2011.
  6. G S Lehal and Chandan Singh, "A Gurmukhi Script Recognition System", Proceedings of the International Conference on Pattern Recognition (ICPR'00), 2000.
  7. Kartar Singh Siddharth, Renu Dhir, Rajneesh Rani," Handwritten Gurmukhi Numeral Recognition using Different Feature Sets", International Journal of Computer Applications, Volume 28, No. 2, August 2011.
  8. Vikas J Dungre et al. , "A Review of Research on Devnagari Character Recognition", International Journal of Computer Applications, Volume-12, No. 2, November 2010.
  9. M Abdul Rahiman, M S Rajasree, "OCR for Malayalam Script Using Neural Networks", IEEE, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition Handwritten Gurmukhi Script Feature Extraction Daubechies Discrete Wavelet Transform