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Online Handwriting Recognition of Hindi Numerals using SVM

by Deepika Wadhwa, Karun Verma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 11
Year of Publication: 2012
Authors: Deepika Wadhwa, Karun Verma
10.5120/7391-0250

Deepika Wadhwa, Karun Verma . Online Handwriting Recognition of Hindi Numerals using SVM. International Journal of Computer Applications. 48, 11 ( June 2012), 13-17. DOI=10.5120/7391-0250

@article{ 10.5120/7391-0250,
author = { Deepika Wadhwa, Karun Verma },
title = { Online Handwriting Recognition of Hindi Numerals using SVM },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number11/7391-0250/ },
doi = { 10.5120/7391-0250 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:48.332407+05:30
%A Deepika Wadhwa
%A Karun Verma
%T Online Handwriting Recognition of Hindi Numerals using SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 11
%P 13-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwriting recognition has attracted many researchers across the world. Recognition of online handwritten Hindi numerals is a goal of many research efforts in the pattern recognition field. This paper presents an online handwritten Hindi numeral recognition system using Support Vector Machines. Co-ordinate points of the input handwritten numeral are collected; various algorithms for pre-processing are applied for normalizing, resampling and interpolating missing points. Angle, curvature along with the x and y co-ordinates are extracted from the input handwritten numeral. The data obtained is then used for recognition using the kernel functions of SVM. The recognition accuracies are obtained on different schemes of data using the four kernel functions of SVM.

References
  1. Wikipedia, http://en. wikipedia. org/wiki
  2. Jaeger, S. , Manke, S. , Reichert, J. , and Waibel A. 2001. Online Handwriting Recognition: The Npen++ Recognizer. International Journal of Document Analysis and Recognition, vol. 3, no. 3, pp. 169-180.
  3. Patil, P. M. and Sontakke, T. R. 2007. Rotation, Scale and Translation invariant Handwritten Devanagari Numeral Character Recognition using General Fuzzy Neural Network. Pattern Recognition Society.
  4. Jain, A. K. , Duin, R. P. W. and Mao, J. , 2000. Statistical Pattern Recognition: A Review. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1.
  5. Elnagar, A. , Al-Kharousi, F. , and Harous, S. 1997. Recognition of Handwritten Hindi Numerals using Structural Descriptors. IEEE.
  6. Dr. Mahdy, Y. B. and ENG. El-Melegy, M. T. 1996. Encoding Patterns for Efficient Classification by Nearest Neighbor Classifiers and Neural Networks with Application to Handwritten Hindi Numeral Recognition. Proceedings of ICSP.
  7. Hanmandlu, M. , Grover, J. , Madasu, V. K. , and Vasikarla, S. 2007. Input Fuzzy Modeling for the Recognition of Handwritten Hindi Numerals. International Conference on Information Technology.
  8. Sharma, A. , Kumar, R. , and Sharma, R. K. 2008. Online Handwritten Gurmukhi Character Recognition Using Elastic Matching. Congress on Image and Signal Processing.
  9. Rajashekararadhya, S. V. and Ranjan, P. V. 2009. Support Vector Machine based Handwritten Numeral Recognition of Kannada Script. IEEE International Advance Computing Conference.
  10. Bellegarda, E. J. , Bellegarda, J. R. , Namahoo, D. , and Nathan K. S. , 1993. A probabilistic framework for online handwriting recognition. Proceedings of IWFHR III, pp. 225-234.
  11. Shanthi, N. and Duraiswamy, K. 2010. A Novel SVM- Based Handwritten Tamil Character Recognition System. Pattern Anal Applic.
  12. Bahlmann, C. , Haasdonk, B. , and Burkhart, H. 2002. Online Handwriting Recognition with SVM- A Kernel Approach. Proceedings of the eighth International Workshop on Frontiers in handwriting Recognition.
  13. Jayaraman, A. , Sekhar, C. C. , and Chakravarthy, V. S. 2007. Modular Approach to Recognition of Strokes in Telugu Script. Ninth international Conference on Document Analysis and Recognition.
  14. Rajashekararadhya, S. V. , and Ranjan, P. V. 2009. Support Vector Machine Based Handwritten Numeral Recognition of Kannada Script. IEEE International Advance Computing Conference.
  15. Ahmad, A. R. , Khalid, M. , Gaudin, C. V. , and Poisson, E. 2004. Online Handwriting Recognition using Support Vector machine. IEEE.
  16. Unser, M. , Aldroubi, A. , and Eden, M. 1993. B-Spline Signal Processing: part 2- Efficient Design and Applications. IEEE Transactions on Signal Processing, Vol. 41, No. 2, pp. 834-848.
  17. Kavallieratou, E. , Fakatakis, N. , Kolkkinakis, G. 2002. An Unconstrained Handwriting Recognition System. International Journal of Document Analysis and Recognition, vol 4, No. 4, pp. 226-242.
  18. Ding, Y. , Kimura, F. and Miyake, Y. Slant Estimation for Handwritten Words by Directionally Refined Chain Code.
  19. HEARST, Marti A. , et al. , 1998. Support Vector Machines. IEEE Intelligent Systems, 13(4), 18-28.
  20. Shanthi, N. and Duriaswamy, K. 2010. A Novel SVM Based Handwritten Tamil Character Recognition System. Pattern Anal Applic.
Index Terms

Computer Science
Information Sciences

Keywords

Preprocessing Feature Extraction Svm (support Vector Machine)

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