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

Malayalam Character Recognition using Singular Value Decomposition

by Anil R, Arjun Pradeep, Midhun E M, Manjusha K
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 12
Year of Publication: 2014
Authors: Anil R, Arjun Pradeep, Midhun E M, Manjusha K
10.5120/16059-5167

Anil R, Arjun Pradeep, Midhun E M, Manjusha K . Malayalam Character Recognition using Singular Value Decomposition. International Journal of Computer Applications. 92, 12 ( April 2014), 6-11. DOI=10.5120/16059-5167

@article{ 10.5120/16059-5167,
author = { Anil R, Arjun Pradeep, Midhun E M, Manjusha K },
title = { Malayalam Character Recognition using Singular Value Decomposition },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 12 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number12/16059-5167/ },
doi = { 10.5120/16059-5167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:06.658835+05:30
%A Anil R
%A Arjun Pradeep
%A Midhun E M
%A Manjusha K
%T Malayalam Character Recognition using Singular Value Decomposition
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 12
%P 6-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper provides a classification methodology of Malayalam characters segmented from scanned document images. Optical Character Recognition (OCR) is one of the successful area which has wide variety of applications related to pattern recognition. This paper describes segmented character recognition using Singular Value Decom- position (SVD). Euclidean distance measure is used for finding the nearest character class of the segmented character image during testing. For each character class, a resultant template is created from training character images using the proposed approach, which in turn reduces the comparisons required for classification. The result obtained from the experiment shows that this method provides an accuracy of 97%.

References
  1. N. V. Neeba, Anoop Namboodiri, C. V. Jawahar, P. J. Narayanan, "Recognition of Malayalam Documents". In: Advances in Pattern Recognition, Guide to OCR for Indic Scripts, Springer, London, 2009.
  2. Sajilal Divakaran, "Spectral Analysis of Projection Histogram for En- hancing Close matching character Recognition in Malayalam", Interna- tional Journal of Computer Science and Information Technology (IJCSIT) Vol 4, No 2, April 2012.
  3. Bidyut B. Chaudhuri," On OCR of a Printed Indian Script. In: Advances in Pattern Recognition (ed) Digital Document Processing", Springer London 2007.
  4. S. Mori, C. Y. Suen and K. Yamamoto," Historical Review of OCR Research and Development[C]", Proceedings of the IEEE, 1992, 80(2):1029-1058.
  5. Stephen V. Rice, George Nagy, Thomas A. Nartker," Optical Character Recognition: An Illustrated Guide to the Frontier", Springer, Jan 1999.
  6. Soumya V. J, Sumya T. Soman, Soman K. P," Singular Value Decomposition- A Classroom Approach. International Journal of Recent trends in Engineering", Academy Publishers, Finland, 2009.
  7. Kirk Baker," Singular Value Decomposition Tutorial", March 29, 2005 (Revised January 14, 2013).
  8. Dan Kalman A Singularly Valuable Decomposition: The SVD of a Matrix. The American University, Washington, 2002.
  9. Sachin Kumar S, Manjusha K, K. P. Soman, " Novel SVD Based Character Recognition Approach for Malayalam Language Script, Recent Advances in Intelligent Informatics Advances in Intelligent Systems and Computing ", Springer, Volume 235, 2014, pp 435-442.
  10. K. P. Soman, R. Ramanathan," Digital Signal and Image Processing -The Sparse Way ", Isa Publishers, 2012.
  11. Shivsubramani K, R. Loganathan, Srinivasan CJ, Ajay V, K. P. Soman, " Multiclass Hierarchical SVM for Recognition of Printed Tamil Characters", In Proc. of IJCAI, 2007.
  12. Merin Cherian, Radhika G, Shajeesh K U, K. P. Soman, M Sabarimalai Manikandan, " A Levelset Based Binarization and Segmentation for Scanned Malayalam Document Image Analysis ", IEEE International Conference on computational Intelligence and Computing Research, 2011.
  13. Manjusha K, Sachin Kumar S, Jolly Rajendran, K P Soman,"Hindi Character Segmentation in Document Images using Level set Methods and Non-linear Diffusion", International Journal of Computer Applications, 44(16):42-49, April 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition (OCR) Singular Value Decomposition (SVD) Malayalam script recognition.

Powered by PhDFocusTM