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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Multi-Font and Multi-Size Kannada Character Recognition based on the Curvelets and Standard

by Mamatha H. R., Sucharitha S., Srikanta Murthy K.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 11
Year of Publication: 2011
Authors: Mamatha H. R., Sucharitha S., Srikanta Murthy K.
10.5120/4443-6204

Mamatha H. R., Sucharitha S., Srikanta Murthy K. . Multi-Font and Multi-Size Kannada Character Recognition based on the Curvelets and Standard. International Journal of Computer Applications. 35, 11 ( December 2011), 1-8. DOI=10.5120/4443-6204

@article{ 10.5120/4443-6204,
author = { Mamatha H. R., Sucharitha S., Srikanta Murthy K. },
title = { Multi-Font and Multi-Size Kannada Character Recognition based on the Curvelets and Standard },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 11 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number11/4443-6204/ },
doi = { 10.5120/4443-6204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:41.169419+05:30
%A Mamatha H. R.
%A Sucharitha S.
%A Srikanta Murthy K.
%T Multi-Font and Multi-Size Kannada Character Recognition based on the Curvelets and Standard
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 11
%P 1-8
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Good features are those whose values are similar for objects belonging to the same category and distinct for objects in different categories .In this paper, an attempt is made to develop an algorithm for recognition of machine printed isolated Kannada vowels of different font, size and style using fast discrete curvelet transform. A standard deviation is applied to the coefficients obtained and the result of this is used as the feature vector. In addition, the features are obtained by applying the curvelet transform with different scales. A k-NN classifier is adopted for classification. The proposed algorithm is experimented on 5850 samples of vowels. The recognition is independent of the font and size of the printed characters and the system is seen to deliver reasonable recognition accuracies for different scales with 90.17% being the highest for a combination of scales 1, 2, 3.

References
  1. 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.
  2. B.B. Chaudhuri, U. Pal 1998 A Complete Printed Bangla OCR System. Pattern Recognition, 31 (1998), pp 531–549.
  3. U. Pal, B.B. Chaudhuri 2004 Indian Script Character Recognition: a Survey. Pattern Recognition, 37 (2004),pp 1887 – 1899.
  4. M. Abdul Rahiman , M. S. Rajasree 2009 A Detailed Study and Analysis of OCR Research in South Indian Scripts.International Conference on Advances in Recent Technologies in Communication and Computing, pp.31-38.
  5. Ashwin T V, Sastry P S 2002 A fonts and size-independent OCR system for printed Kannada documents using support vector machines. Sadhana 27:35-58
  6. 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. 20:1467-1475
  7. Kunte Sanjeev R, Sudhaker Samuel (2006), Hu’s invariant moments & Zernike moments approach for the recognition of basic symbols in printed Kannada text. Sadhana vol .32, part 5, October 2007, pp. 521-533.
  8. 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 2007, pp 349-355.
  9. O.D. Trier, A.K. Jain, T. Taxt. 1996 Feature Extraction Methods for Character Recognition—a Survey. Pattern Recognition, 29(1996), pp 641–662.
  10. E. J. Cand`es and D. L. Donoho.2000 Curvelets – a surprisingly effective nonadaptive representation for objects with edges. In C. Rabut A. Cohen and L. L. Schumaker, editors, Curves and Surfaces, pages 105–120, Vanderbilt University Press, 2000. Nashville, TN.
  11. Narasimha Murthy. A.V. 1975 Kannada Lipiya Ugama Mattu Vikasa. Institute of Kuvempu Kannada Studies Publication University of Mysore.
  12. Ishrat Jahan Sumana. 2008 Image Retrieval Using Discrete Curvelet Transform. Master Thesis. Gippsland School of Information Technology .Monash University, Australia.
  13. J. L. Starck, E. J. Cand`es, and D. L. Donoho 2002. The curvelet transform for image denoising.IEEE Trans. Im. Proc., 11-6 (2002), 670–684.
  14. H. Douma and M. V. de Hoop. 2004 Wave-character preserving prestack map migration using curvelets. Presentation at the Society of Exploration Geophysicists, Denver, CO, 2004.
  15. Emmanuel Cand`es, Laurent Demanet, David Donoho and Lexing Ying, “Fast Discrete Curvelet Transforms”, Technical report July 2005, revised March 2006.
  16. Farhad Mohamad Kazemi,Jalaleddin Izadian,Reihane Moravejian,Ehsan Mohamad Kazemi. 2008. Numeral Recognition Using Curvelet Transform. ACS International Conference on Computer Systems and Applications.pp 606-612.
  17. E. J. Candes and D. L. Donoho. 1999. Ridgelets: the key to higher-dimensional intermittency. Phil.Trans. R. Soc. Lond. A. 357 (1999), 2495–2509.
  18. M. J. Fadili and J.-L. Starck, 2007.Curvelets and Ridgelets," Encyclopedia of Complexity and System Science , in press.
  19. S. Theodoridis, K. Koutroumbas.1999 .Pattern Recognition, Academic Press, New York.
  20. The Wikipedia website.[Online].Available: http://www.wikipedia.org/
  21. Mallikarjun Hangarge,Shashikala Patil,B.V.Dhandra 2010. Multi-font/size Kannada Vowels and Numerals Recognition Based on Modified Invariant Moments IJCA Special Issue on Recent Trends in Image Processing and Pattern Recognition RTIPPR, 2010,pp126-130
  22. 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, November-2008.
  23. B.V. Dhandra, Mallikarjun Hangarge, Gururaj Mukarambi.2011. Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels Recognition. "International Conference on Communication, Computation, Control and Nanotechnology (2010).
  24. 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.2010 IEEE International Conference on Industrial Technology (ICIT),pp.183-187.
Index Terms

Computer Science
Information Sciences

Keywords

Curvelets Standard deviation Kannada character recognition k-NN classifier

Powered by PhDFocusTM