CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 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

Study of Different Off-line Handwritten Character Recognition Algorithms for Various Indian Scripts

by Hetal R. Thaker, C. K. Kumbharana
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 16
Year of Publication: 2013
Authors: Hetal R. Thaker, C. K. Kumbharana
10.5120/11008-6330

Hetal R. Thaker, C. K. Kumbharana . Study of Different Off-line Handwritten Character Recognition Algorithms for Various Indian Scripts. International Journal of Computer Applications. 65, 16 ( March 2013), 23-28. DOI=10.5120/11008-6330

@article{ 10.5120/11008-6330,
author = { Hetal R. Thaker, C. K. Kumbharana },
title = { Study of Different Off-line Handwritten Character Recognition Algorithms for Various Indian Scripts },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 16 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number16/11008-6330/ },
doi = { 10.5120/11008-6330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:19:01.357345+05:30
%A Hetal R. Thaker
%A C. K. Kumbharana
%T Study of Different Off-line Handwritten Character Recognition Algorithms for Various Indian Scripts
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 16
%P 23-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten recognition is an area of research where many researchers have presented their work and is still an area under research to achieve higher accuracy. In past collecting, storing and transmitting information in form of handwritten script was the most convenient way and is still prevailing as a convenient medium in the era of digital technology. As technology has advanced tablet and many similar devices allows humans to input data in form of handwriting. Use of paper to write handwritten text, converting to an image using scanner, identifying handwritten characters from the image is known as off-line handwritten text recognition is a challenging area due to the fact that different people will have different style of writing and all scripts have their own character set and complexities to write text. Many researchers have presented their work and many algorithms are proposed to recognize handwritten and printed characters. One can trace extensive work for off-line handwritten recognition for English and Arabic script. This paper presents review of work to recognize off-line handwritten text for various Indian language scripts. Paper reviews methodologies with respect to the phases of character recognition.

References
  1. M. J. Baheti, K. V. Kale, and M. E. Jadhav, 2011 COMPARISON OF CLASSIFIERS FOR GUJARATI NUMERAL RECOGNITION, International Journal of Machine Intelligence, vol. 3.
  2. Apurva A. Desai, 2010 Gujarati handwritten numeral optical character reorganization through neural network, Pattern Recognition, vol. 43, pp. 2582-2589.
  3. M. J. Baheti, Kale K. V. ,2012 Gujarati Numeral Recognition?: Affine Invariant Moments Approach, Soft Computing, pp. 140-146.
  4. J. R. Prasad, U. V. Kulkarni, 2003. Offline Handwritten Character Recognition of Gujrati Script using Pattern Matching, Computer Engineering.
  5. R. J. Kannan, R. Prabhakar, 2008. Off-Line Cursive Handwritten Tamil Character Recognition, Signal Processing, vol. 4, no. 6, pp. 351-360.
  6. S. K. Niranjan, V. Kumar, H. K. G, and M. A. V. N, 2009 FLD based Unconstrained Handwritten Kannada Character Recognition, International Journal, vol. 2, no. 3, pp. 21-26.
  7. R. Jagdeesh Kannan, R. Prabhakar, 2008 An Improved Handwritten Tamil Character Recognition System using Octal Graph, Department of Computer Science and Engineering , Department of Computer Science and Engineering , Coimbatore Institute of Technology , Co, Journal of Computer Science, vol. 4, no. 7, pp. 509-516.
  8. S. Arora, D. Bhattacharjee, M. Nasipuri, D. K. Basu, M. Kundu Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance, Journal of Computer Science, no. 4, pp. 107-120.
  9. N. Sharma, U. Pal, F. Kimura, and S. Pal, 2006. Recognition of Off-Line Handwritten Devnagari Characters Using Quadratic Classifier, Language, pp. 805-816.
  10. B. Shaw, Swapan Kr. Parui, Malayappan Shridhar, 2008 "Offline Handwritten Devanagari Word Recognition?: A Segmentation Based Approach," Stroke.
  11. N. Shanthi, K. Duraiswamy, 2010, A novel SVM-based handwritten Tamil character recognition system, New York, pp. 173-180.
  12. M. Jangid, R. Dhir, R. Rani, and K. Singh, 2011 SVM Classifier for Recognition of Handwritten Devanagari Numeral, Processing, no. Iciip.
  13. B. V. Dhandra, R. G. Benne, M. Hangarge Kannada , Telugu and Devanagari Handwritten Numeral Recognition with Probabilistic Neural Network?: A Novel Approach, Architecture, pp. 83-88, 2010.
  14. J. Pradeep, E. Srinivasan, and S. Himavathi, 2011 DIAGONAL BASED FEATURE EXTRACTION FOR HANDWRITTEN ALPHABETS RECOGNITION, International Journal of Computer Science & Information Technology, vol. 3, no. 1.
  15. V. J. Dongre, V. H. Mankar, and G. Suganya, 2010 A Review of Research on Devnagari Character Recognition, International Journal of Computer Applications, vol. 12, no. 2, pp. 8-15.
  16. I. S. Oh, J. S. Lee, C. Y. Suen, 1999 Analysis of class separation and Combination of Class-Dependent Features for Handwriting Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 1089-1094.
Index Terms

Computer Science
Information Sciences

Keywords

Character Recognition Off-line handwriting recognition Pre-processing segmentation feature extraction classification Indian script handwriting recognition

Powered by PhDFocusTM