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Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition
Joint Authors
Dongre, Vikas J.
Mankar, Vijay H.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-24
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Dongre, Vikas J.& Mankar, Vijay H.. 2012. Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-505051
Modern Language Association (MLA)
Dongre, Vikas J.& Mankar, Vijay H.. Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-505051
American Medical Association (AMA)
Dongre, Vikas J.& Mankar, Vijay H.. Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-505051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505051