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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 871834, 5 pages
Research Article

Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition

Department of Electronics & Telecommunication Engineering, Government Polytechnic, Nagpur 440 001, India

Received 5 April 2012; Accepted 31 May 2012

Academic Editor: Hyunchul Ahn

Copyright © 2012 Vikas J. Dongre and Vijay H. Mankar. 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.


In handwritten character recognition, benchmark database plays an important role in evaluating the performance of various algorithms and the results obtained by various researchers. In Devnagari script, there is lack of such official benchmark. This paper focuses on the generation of offline benchmark database for Devnagari handwritten numerals and characters. The present work generated 5137 and 20305 isolated samples for numeral and character database, respectively, from 750 writers of all ages, sex, education, and profession. The offline sample images are stored in TIFF image format as it occupies less memory. Also, the data is presented in binary level so that memory requirement is further reduced. It will facilitate research on handwriting recognition of Devnagari script through free access to the researchers.