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

Submit your paper
Know more
Reseach Article

Template matching approach for Handwritten Kannada Numeral Recognition

Published on May 2012 by Vishweshwarayya C Hallur, Ravindra S. Hegadi
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 3
May 2012
Authors: Vishweshwarayya C Hallur, Ravindra S. Hegadi
4929a8e2-5741-492b-901f-eb303d01113d

Vishweshwarayya C Hallur, Ravindra S. Hegadi . Template matching approach for Handwritten Kannada Numeral Recognition. National Conference on Recent Trends in Computing. NCRTC, 3 (May 2012), 11-12.

@article{
author = { Vishweshwarayya C Hallur, Ravindra S. Hegadi },
title = { Template matching approach for Handwritten Kannada Numeral Recognition },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 3 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 11-12 },
numpages = 2,
url = { /proceedings/ncrtc/number3/6530-1020/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Vishweshwarayya C Hallur
%A Ravindra S. Hegadi
%T Template matching approach for Handwritten Kannada Numeral Recognition
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 3
%P 11-12
%D 2012
%I International Journal of Computer Applications
Abstract

In this paper we propose a simple template matching method based on correlation co-efficient to recognize the hand written Kannada numerals. In this, hand written Kannada numeral documents are scanned to preprocessors to eliminate noise. By applying line segmentation each numeral is extracted. And then each segmented object is calculated between the each numeral under consideration and stored numeral image data. A high correlation coefficient will indicate the successful match between the numeral under consideration and stored numeral.

References
  1. Gorman L. O. , Kasturi R. : Document image analysis, IEEE Computer Society Press (1995).
  2. Choudary B. B. , Pal U. : An OCR system to read to Indian languages scripts: Bangla and Devanagari. In: Fourth Int. Conf. Doc. Ana. Rec. , PP. 1011-1015 (1997).
  3. Sinha R. M. K. , Mahabala H. : Machine recognition of Devanagari script. IEEE Trans. Sys. , Man, Cybern. q, pp. 435-449 (1979).
  4. Kunte R. S. , Samual R. D. S. : An OCR system for printed Kannada text using two-stage Multi-network classification approach employing Wavelet features. In: Int. Conf. Computational Intel. Multimedia Appl. , pp. 349-455 (2007).
  5. Ashwin T. V. , Sastry P. S. : A font and size independent OCR system for printed Kannada Documents using support vector machines. Sadhana 27(1), 35-58 (2002).
  6. Rajaput G. G. , Hangarge M. : Recognition of isolated hand written Kannada numerals based on image fusion method. In: Proc. PReMI, pp. 153-160 (2007).
  7. Yuhai L. , Jian L. , Jinwen T. , Honbo X. : A fast rotated template matching based on point feature In: Proc. SPIE 6043, pp. 453-459 (2005).
  8. Dinesh Acharya U, N V Subbareddy and Krishnmoorthy, Isolated Kannada Numeral Recognition Using Srtuctural Features and K-Means Cluster, Proc. Of IISN-2007, (2007) 125-129.
  9. G. G. Rajaput and Mallikarjun Hangarge, "Recognition of Isolated Kannada Numeral Based on Image Fusion Method", PReMI 2007, LNCS 4815, pp. 153-160, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Kannada Numerals Template Matching