A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bilingual OCR for Hindi-Telugu Documents and its Applications
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Databases for Research on Recognition of Handwritten Characters of Indian Scripts
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Benchmark Kannada Handwritten Document Dataset and Its Segmentation
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Integrating knowledge sources in Devanagari text recognition system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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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.