CFP last date
20 December 2024
Reseach Article

A Survey on Handwritten Character Recognition Techniques for Various Indian Languages

by Krupa Dholakia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 1
Year of Publication: 2015
Authors: Krupa Dholakia
10.5120/20114-2159

Krupa Dholakia . A Survey on Handwritten Character Recognition Techniques for Various Indian Languages. International Journal of Computer Applications. 115, 1 ( April 2015), 17-21. DOI=10.5120/20114-2159

@article{ 10.5120/20114-2159,
author = { Krupa Dholakia },
title = { A Survey on Handwritten Character Recognition Techniques for Various Indian Languages },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 1 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number1/20114-2159/ },
doi = { 10.5120/20114-2159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:36.548670+05:30
%A Krupa Dholakia
%T A Survey on Handwritten Character Recognition Techniques for Various Indian Languages
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 1
%P 17-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten character recognition is always an interesting area of pattern recognition for research in the field of image processing. Many researchers have presented their work in this area and still research is undergoing to achieve high accuracy. This paper is mainly concerned for the people who are working on the character recognition and review of work to recognize handwritten character for various Indian languages. The objective of this paper is to describe the set of preprocessing, segmentation, feature extraction and classification techniques.

References
  1. Ratnashil N Khobragade, Dr. Nitin A. Koli and Mahendra S Makesar, A Survey on Recognition of Devnagari Script, International Journal of Computer Applications & Information Technology, Vol. 2, Issue 1, 2013, pp. 22-16.
  2. Vijay Laxmi Sahu and Babita Kubde, Offline Handwritten Character Recognition Techniques using Neural Network: A Review, International Journal of Science and Research (IJSR), Vol. 2 Issue 1, 2013, pp. 87-94.
  3. Aji George and Faibin Gafoor, Contourlet Transform based Feature Extraction for Handwritten Malayalam Character Recognition using Neural Network, International Journal of Industrial Electronics and Electrical Engineering, Vol. 2, Issue-4, 2014, pp. 19-22.
  4. Kartar Singh Siddharth, Renu Dhir and Rajneesh Rani, Handwritten Gurumukhi Character Recognition using Zoning Density and Background Directional Distribution Features, International Journal of Computer Science and Information Technologies, Vol. 2(3), 2011, pp. 1036-1041.
  5. Apurva A. Desai, Gujarati handwritten numeral optical character reorganization through neural network, Pattern Recognition, Vol. 43, 2010, pp. 2582–2589
  6. Md. Saidur Rahman, G. M. Atiqur Rahaman, Asif Ahmed and G. M. Salahuddin, An Approach to Recognize Handwritten Bengali Numerals for Postal Automation, International Conference on Computer and Information Technology, 2008, pp. 171-176.
  7. Rinki Singh and Mandeep Kaur, OCR for Telugu Script Using Back-Propagation Based Classifier, International Journal of Information Technology and Knowledge Management, Vol. 2, No. 2,2010,pp. 639-643
  8. Jomy John, Pramod K. V. and Kannan Balakrishnan, Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier, International Conference on Communication Technology and System Design 2011, Vol. 30, 2012,pp. 598-605
  9. Ashutosh Aggarwal, Rajneesh Rani and Renu Dhir, Handwritten Devanagari Character Recognition Using Gradient Features, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, Issue 5, 2012, pp. 85-90.
  10. Niranjan S. K, Vijaya Kumar, Hemantha Kumar G and Manjunath Aradhya V N, FLD based Unconstrained Handwritten Kannada Character Recognition, International Journal of Database Theory and Application, Vol. 2, No. 3, 2009, pp. 21-26.
  11. Nilima P. Patil K. P. Adhiya and Surendra P. Ramteke, A Structured Analytical Approach to Handwritten Marathi vowels Recognition, International Journal of Computer Applications, Vol. 31– No. 3, 2011, pp. 48-52.
  12. Ved Prakash Agnihotri, Off-Line Handwritten Devanagari Script Recognition using Diagonal Feature Extraction Method, International Journal of Research in Science And Technology, Vol. 1, Issue No. 5, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Handwritten character Preprocessing Segmentation Feature extraction Classification.