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
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform

by B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 5
Year of Publication: 2014
Authors: B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi
10.5120/18516-9603

B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi . Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform. International Journal of Computer Applications. 106, 5 ( November 2014), 18-22. DOI=10.5120/18516-9603

@article{ 10.5120/18516-9603,
author = { B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi },
title = { Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 5 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number5/18516-9603/ },
doi = { 10.5120/18516-9603 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:36.369247+05:30
%A B.v. Dhandra
%A Shashikala Parameshwarppa
%A Gururaj Mukarambi
%T Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 5
%P 18-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an attempt is made to develop an algorithm for the recognition of handwritten Kannada consonants characters using Second Generation Discrete Curvelet Transform (DCTG2). Images are made noise free by using median filter and images are normalized into 64x64 pixels. Curvelet transform with different scales are applied to the input images to generate the curvelet coefficients. Then the Standard deviation are computed for the curvelet coefficients to form feature vector of size 20 and KNN classifier with two fold cross validation is used for the recognition of handwritten Kannada consonants. A sample of 200 images is collected for each of the 34 consonant characters amounting to 6800 sample images. The experiment is carried out for the proposed algorithm on 6800 samples collected. The average recognition accuracy of 92. 56 % is obtained and compared with other existing system and found to be an efficient algorithm with respect to feature size. The proposed algorithm is independent of the thinning and skew of the characters.

References
  1. R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, 2nd ed. , Wiley-New York.
  2. R. M. K. Sinha, Scott D. Conell and Anil K. Jain, "Recognition of Unconstrained Online Devanagari Characters", Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Sept. 2000. pp. 368-371.
  3. B. V. Dhandra, Mallikarjun Hangarge and Gururaj Mukarambi (2012). "A Zone Based Character Recognition Engine for Kannada and English Scripts". Elsevier Science Direct, pp. 3292-3299.
  4. Kunte Sanjeev R. , Sudhaker Samuel (2006). "A simple and efficient optical character recognition system for basic symbols in printed Kannada text". Sadhana, Vol. 32, Part 5, pp. 521-533.
  5. B. V. Dhandra, Mallikarjun Hangarge, Vijayalaxmi M. B. and Gururaj Mukarambi (Feb2014). "Script Identification Using Discrete Curvelet Transfirms". IJCA, Recent Advances in Information Technology. pp. 16-20
  6. E. Cand`es, L. Demanet, D. Donoho and L. Ying, "Fast Discrete Curvelet Transforms," Technical Report, July 2005 , pp. 761-799
  7. B. V. Dhandra, Mallikarjun Hangarge and Shashikala Parameshwarappa (2010). "Multi-Font Kannada Vowels and Numerals Recognition Based on Modified Invariant Moments", IJCA, Special Issue on RTIPPR (3): pp146–151
  8. G. G. Rajput, Rajeswari Horakeri (2011). "Shape Descriptors Based Handwritten Character Recognition Engine with Application to Kannada Characters", International Conference on Computer & Communication Technology (ICCCT), pp 314-320
  9. E. J. Candès, L. Demanet, D. L. Donoho, L. Ying. "Fast Discrete Curvelet Transforms". Multiscale Model. Simul. pp. 861-899.
  10. Dinesh Acharya U, N V Subba Reddy and Krishnamoorthi 2008. Hierarchical Recognition System for Machine Printed Kannada Characters. IJCSNS LNCS International Journal of Computer Science and Network Security VOL. 8 No. 11, pp. 44-53.
  11. Srikanta Murthy, Mamata H. R. , Sucharita S. , "Multi –font and Multi-size Kannada Character Recognition based on the Curvelet and Standard Deviation", IJCA, Volume 35, December2011. pp. 101-104
  12. E. J. Cand`es and D. L. Donoho, "Curvelets–A Surprisingly Effective Nonadaptive Representation for Objects with Edges," in Curves and Surfaces, C. Rabut, A. Cohen, and L. L. Schumaker, Ed. , Vanderbilt University Press, Nashville, TN, 2000, pp. 105–120.
  13. J. L. Starck, E. J. Cand`es, and D. L. Donoho (2002). "The Curvelet Transform for Image Denoising", IEEE Trans. Im. Proc. , Vol. 11, No. 6, pp. 670-684.
  14. Gonzales R. C. and Woods, R. E. (2002). Digital Image Processing 2nd Ed. Upper Saddle River, N. J. : Prentice- Hall, Inc. pp 261-269
  15. Nagabhushan P. , Angadi S. A. , Anami B. S. (2003). A Fuzzy Statistical Approach to Kannada Vowel Recognition based on Invariant Moments, Proceedings of NCDAR -2003, PESCE, Mandya, pp. 275-285.
  16. R. Sanjeev Kunte, R. D. Sudhaker Samuel (2007). An OCR System for Printed Kannada Text Using Two-stage Multi-network Classification Approach Employing Wavelet Features, International Conference on Computational Intelligence and Multimedia Applications, pp. 349-355.
  17. U. Pal, B. B. Chaudhuri (2004). Indian Script Character Recognition: A Survey. Pattern Recognition, 37 (2004), pp. 1887–1899.
  18. Dinesh Acharya U. , N. V. Subba Reddy and Krishnamoorthi (2008). Hierarchical Recognition System for Machine Printed Kannada Characters. IJCSNS International Journal of Computer Science and Network Security, Vol. 8, No. 11, pp. 44-53.
  19. Karthik Sheshadri, Pavan Kumar, T. Ambekar, Deeksha Padma Prasad and Dr. Ramakanth P. Kumar (2010). An OCR System for Printed Kannada using K-Means Clustering. IEEE International Conference on Industrial Technology (ICIT), pp. 183-187.
  20. M. J. Fadili and J. L. Starck (2007). Curvelets and Ridgelets, "Encyclopedia of Complexity and System Science , pp. 1-29
  21. Ashwin T. V. , Sastry P. S. (2002). A Fonts and Size-Independent OCR System for Printed Kannada Documents Using Support Vector Machines. Sadhana, 27: pp. 35-58.
  22. Rampalli R. , Ramakrishan, Anagari G. (2011). Fusion of Complementary Online and Offline Strategies for Recognition of Handwritten Kannada Characters, Journal of Universal Computer Science, 17(1): pp. 81-93.
  23. Nagbhushan P, Pai Radhika M 1999 Modified region decomposition method and optimal depth decomposition tree in the recognition of non –uniform sized characters – An experimentation with Kannada characters. Pattern Recognition . Letter. 20: pp. 1467-1475
Index Terms

Computer Science
Information Sciences

Keywords

Kannada character Recognition Curvelets Standard deviation KNN classifier.

Powered by PhDFocusTM