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Applied Computational Intelligence and Soft Computing
Volume 2015, Article ID 193868, 12 pages
Research Article

On the Performance Improvement of Devanagari Handwritten Character Recognition

1IET, DAVV, Khandwa Road, Indore 452017, India
2IIT, Khandwa Road, Indore 452017, India

Received 3 August 2014; Revised 29 December 2014; Accepted 16 January 2015

Academic Editor: Ying-Tung Hsiao

Copyright © 2015 Pratibha Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Pratibha Singh, Ajay Verma, and Narendra S. Chaudhari, “Performance Evaluation of Classifier Combination Techniques for the Handwritten Devanagari Character Recognition,” Information Systems Design and Intelligent Applications, vol. 434, pp. 651–662, 2016. View at Publisher · View at Google Scholar
  • Shraddha Arya, Indu Chhabra, and G. S. Lehal, “Integrated Feature Exploration for Handwritten Devanagari Numeral Recognition,” Proceedings of 2nd International Conference on Computer Vision & Image Processing, vol. 703, pp. 145–157, 2018. View at Publisher · View at Google Scholar
  • Parul Sahare, and Sanjay B. Dhok, “Robust Character Segmentation and Recognition Schemes for Multilingual Indian Document Images,” IETE Technical Review, pp. 1–14, 2018. View at Publisher · View at Google Scholar