We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Perform Evaluation of Various Feature Extraction Techniques for Gurmukhi Script

by Pardeep Kaur, Shamandeep Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 19
Year of Publication: 2015
Authors: Pardeep Kaur, Shamandeep Singh
10.5120/21175-4164

Pardeep Kaur, Shamandeep Singh . Perform Evaluation of Various Feature Extraction Techniques for Gurmukhi Script. International Journal of Computer Applications. 119, 19 ( June 2015), 16-22. DOI=10.5120/21175-4164

@article{ 10.5120/21175-4164,
author = { Pardeep Kaur, Shamandeep Singh },
title = { Perform Evaluation of Various Feature Extraction Techniques for Gurmukhi Script },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 19 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number19/21175-4164/ },
doi = { 10.5120/21175-4164 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:28.723383+05:30
%A Pardeep Kaur
%A Shamandeep Singh
%T Perform Evaluation of Various Feature Extraction Techniques for Gurmukhi Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 19
%P 16-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical character recognition (OCR) is more popular system for research field. In India, a lot of work has been done on various scripts, like Devanagari, Bangla, Tamil, Gujarati, Oriya etc. In this paper, we present a review of various OCR systems for Gurmukhi scripts. All the feature extraction techniques for extracting the features, classifiers for classification are discussed in various section of this paper. At the end, we have concluded various techniques on the basis of their accuracy.

References
  1. M, sharma, R. K & Jindal, M. K kumar, "Efficent feature extraction techniques for offline handwritten Gurmukhi character recognition," National Academy Science Letters, vol. 37(4), pp. 381-391, 2014.
  2. R. , Kolhe, S. R. , Patil, P. M. , & Pal, U. Jayadevan, "Offline recognition of Devanagari script: A survey. ," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 41(6), pp. 782-796, 2011.
  3. M. , Jindal, M. K. , & Sharma, R. K. Kumar, "K-nearest neighbor based offline handwritten Gurmukhi character recognition. ," In Image Information Processing (ICIIP), 2011 International Conference on IEEE, pp. 1-4, November 2011.
  4. S. , & Harit, G. Bag, "A survey on optical character recognition for Bangla and Devanagari scripts. ," Sadhana, vol. 38(1), pp. 133-168, 2014.
  5. D. , & Jhajj, P. Sharma, "Recognition of isolated handwritten characters in Gurmukhi script," International Journal of Computer Applications, vol. 4(8), pp. 9-17, 2010.
  6. L. Eikvil, "Optical character recognition," citeseer. ist. psu. edu/142042. html, 1993.
  7. V. P. Agnihotri, "Offline Handwritten Devanagari Script Recognition," International Journal of Information Technology and Computer Science (IJITCS), vol. 4(8), p. 37, 2012.
  8. M. , Sharma, R. K. , & Jindal, M. K. Kumar, "Offline handwritten gurmukhi character recognition: Study of different feature-classifier combinations," In Proceeding of the workshop on Document Analysis and Recognition, ACM, pp. 94-99, December 2012.
  9. U. , & Chaudhuri, B. B. Pal, "Indian script character recognition: a survey," pattern Recognition, vol. 37(9), pp. 1887-1899, 2004.
  10. A. M. M. , & Dhanya, P. M. Chacko, "Handwritten Character Recognition In Malayalam Scripts-A Review," arXiv preprint arXiv:1402. 2188, 2014.
  11. D. , & Jain, U. Sharma, "Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron," International Journal of Computer Applications, vol. 10(8), pp. 10-16. , 2010.
  12. K. S. , Dhir, R. , & Rani, R. Siddharth, "Handwritten Gurumukhi Character Recognition Using Zoning Density and Background Directional Distribution Features," International Journal of Computer Science and Information Technologies, vol. 2(3), pp. 1036-1041. , 2011.
  13. G. S. , & Singh, C. Lehal, "A Gurmukhi script recognition system," in InPattern Recognition, 2000. Proceedings. 15th International Conference on IEEE, 2000, pp. 557-560.
  14. M. , Jindal, M. K. , & Sharma, R. K. Kumar, "A Novel Hierarchical Technique for Offline Handwritten Gurmukhi Character Recognition," National Academy Science Letters, vol. 37(6), pp. 567-572, 2014.
  15. M. , Jindal, M. K. , & Sharma, R. K. Kumar, "Weka-Based Classification Techniques for Offline Handwritten Gurmukhi Character Recognition," in In Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012, Springer India. , 2014, pp. 711-720.
  16. M. , Jindal, M. K. , & Sharma, R. K. Kumar, "Classification of characters and grading writers in offline handwritten Gurmukhi script," in In Image Information Processing (ICIIP), 2011 International Conference on, IEEE, 2011, pp. 1-4.
  17. M. , Jindal, M. K. , & Sharma, R. K. Kumar, "Offline Handwritten Gurmukhi Character Recognition Using Curvature Feature," in In Proc. of International Conference on AMOC, 2011, pp. 981-989.
  18. M. , Sharma, R. K. , & Jindal, M. K. Kumar, "SVM Based Offline Handwritten Gurmukhi Character Recognition," pp. 1-12.
  19. K. S. , Jangid, M. , Dhir, R. , & Rani, R. Siddharth, "Handwritten Gurmukhi Character Recognition Using Statistical and Background Directional Distribution," 2011.
  20. D. V. , Lehal, G. S. , & Kathuria, P. Sharma, "Digit extraction and recognition from machine printed Gurmukhi documents," In Proceedings of the International Workshop on Multilingual OCR, ACM, p. 12, July 2009.
  21. P. , & Budhiraja, S. Singh, "OCR for Handwritten Gurmukhi Script using Daubechies Wavelet Transforms," International Journal of Computer Applications, vol. 45(10), pp. 25-28, 2012.
  22. Aggarwal. A. , & Dhir. R. Singh. S. , "Use of Gabor Filters for Recognition of Handwritten Gurmukhi Character," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5(2), pp. 234-240, 2012.
  23. P. , & Budhiraja, S. Singh, "Offline Handwritten Gurmukhi Numeral Recognition using Wavelet Transforms," International Journal of Modern Education and Computer Science (IJMECS), vol. 4(8), p. 34, 2012.
  24. K. S. , Dhir, R. , Rani, R. , Jangid, M. , Dhir, R. , Rani, R. , & Singh, K. Siddharth, "Comparative Recognition of Handwritten Gurmukhi Numerals Using Different Feature Sets and Classifiers," In Proceedings of International Conference on Image Information Processing (ICIIP 2011), 2011.
  25. S. , & Dhir, R. Singh, "Recognition of Handwritten Gurmukhi Numeral using Gabor Filters. ," International Journal of Computer Applications, vol. 47(1), pp. 7-11, 2012.
  26. G. S. R. , & Dhir, R. Rani, "Handwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques. ," 2012.
  27. Navghane, A. , & Dandawate, Y. Dixit, A. , "Handwritten Devanagari character recognition using wavelet based feature extraction and classification scheme," in In India Conference (INDICON), 2014 Annual IEEE, 2014, pp. 1-4.
  28. http://en. wikipedia. org/wiki/Support_vector_machine.
  29. http://en. wikipedia. org/wiki/K-nearest_neighbors_algorithm
  30. http://www. robots. ox. ac. uk/~dclaus/digits/neural. htm
  31. http://en. wikipedia. org/wiki/Naive_Bayes_classifier
Index Terms

Computer Science
Information Sciences

Keywords

OCR HCR Gurmukhi script.