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

Online Handwritten Devnagari Word Recognition using HMM based Technique

by Prachi Patil, Saniya Ansari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 17
Year of Publication: 2014
Authors: Prachi Patil, Saniya Ansari
10.5120/16686-6802

Prachi Patil, Saniya Ansari . Online Handwritten Devnagari Word Recognition using HMM based Technique. International Journal of Computer Applications. 95, 17 ( June 2014), 17-21. DOI=10.5120/16686-6802

@article{ 10.5120/16686-6802,
author = { Prachi Patil, Saniya Ansari },
title = { Online Handwritten Devnagari Word Recognition using HMM based Technique },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 17 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number17/16686-6802/ },
doi = { 10.5120/16686-6802 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:41.374450+05:30
%A Prachi Patil
%A Saniya Ansari
%T Online Handwritten Devnagari Word Recognition using HMM based Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 17
%P 17-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, online handwritten Devnagari word recognition system is proposed and discussed. The increase in usage of handheld devices which accept handwritten data as input created a demand for application which analyze and recognize data efficiently. Due to the popularity of digital device, we use Smartphone as input device. Input image is drawn on Smartphone. Feature extraction of input image is done by android technology. Using that features HMM recognizes the word. Experimental results show advantages of this method in the field of handwriting recognition.

References
  1. Bharat, Sriganesh Madhvanath, "HMM-Based Lexicon-Driven and Lexicon-Free Word Recognition for Online Handwritten Indic Scripts", IEEE, April 2012.
  2. K. Y. Rajput and Sangeeta Mishra "Recognition and Editing of Devnagari Handwriting Using Neural Network", Proceedings of SPIT-IEEE Colloquium and International Conference, Mumbai, India Vol. 1, 66.
  3. Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri, Latesh Malik, "A Two Stage Classification Approach for Handwritten Devanagari Characters", Proceedings of the Fifth International Conference on Document Analysis and Recognition,1999, pp. 653-656.
  4. Anoop Namboodiri, "Online Handwritten Script Recognition", IEEE Vol. 26 No. 1, January 2004.
  5. B. V. Dhandra et. al, "Word-wise script identificationfrom Bilingual Documents Based on Morphological Reconstruction", IEEE Vol. 32,No. 12,2006.
  6. Naveen Sankaram, C. V. Jawahar," Recognition of Printed Devnagari Text Using BLSTM Neural Netwrk", ICPR, Nov. 11-15, 2012.
  7. U. Bhattarchya, A. Nigam," An Analytic Scheme for Online Handwritten Bangla Cursive Word Recognition".
  8. M. K. Mohahmed Althaf, M. Baritha Begum, " Handwritten Characters Pattern Recognition using Neural Networks", International Conference on Computing and Control Engineering, April 2012.
  9. S. Shelke , S. Apte, "A Novel Multiclassifier Scheme for Unconstrained Handwritten Devnagari Character Recognition", Proc. 12th Int. Conf. Frontiers in Handwriting Recognition, Kolkata, India,pp. 215-219, Nov. 16-18, 2010.
  10. Shanthi N and Duraiswami K, "A Novel SVM -based Handwritten Tamil character recognition system", Springer Pattern Analysis & Applications,Vol-13, No. 2, 173-180,2010.
  11. Ved Agnihotri, "Offline Handwritten Devnagari Script Recognition", IJCSI International Journal of Computer Science Issues,2012.
  12. Suresh Kumar C and Ravichandran T, "Handwritten Tamil Character Recognition using RCS algorithms", Int. J. of Computer Applications, (0975 – 8887) Volume 8– No. 8, October 2010.
  13. U. Garain, B. B. Chaudhuri "Segmentation of Touching Characters in Printed Devnagari and Bangla Scripts Using Fuzzy Multifactorial Analysis", Proceedings of the 6th International Conference on Document Analysis and Recognition.
  14. M. C. Padma ,P. A. Vijaya," Identification of Telagu, Devnagari and English Scripts using Discriminating features" , IJCSIT, Vol 1, No 2, November 2009.
  15. C. V. Jawahar, M. N. S. S. K. Pavan Kumar, S. S. Ravi Kiran "A Bilingual OCR for Hindi-Telugu Documents and its Applications", Proc. of the 11th ICPR, vol. II, pp. 200-203, 1992.
  16. M. K. Mohahmed Althaf, M. Baritha Begum, " Handwritten Characters Pattern Recognition using Neural Networks", International Conference on Computing and Control Engineering, April 2012.
  17. S. Shelke , S. Apte, "A Novel Multiclassifier Scheme for Unconstrained Handwritten Devnagari Character Recognition", Proc. 12th Int. Conf. Frontiers in Handwriting Recognition, Kolkata, India,pp. 215-219, Nov. 16-18, 2010.
  18. B. V. Dhandra et. al, "Word-wise script identificationfrom Bilingual Documents Based on Morphological Reconstruction", IEEE Vol. 32,No. 12,2006.
  19. Prachi Mukherji, Priti P. Rege, ?Shape Feature and Fuzzy Logic Based Offline Devnagari Handwritten Optical Character Recognition, Journal of Pattern Recognition Research 4 (2009),pp 52-68.
Index Terms

Computer Science
Information Sciences

Keywords

Android Devnagari Feature Extraction HMM Recognition.

Powered by PhDFocusTM