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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli, "Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.," Pattern Recognition, International Conference on, vol. 2, pp. 913-916, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.895,
author = {Francesco Camastra and Marco Spinetti and Alessandro Vinciarelli},
title = {Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {913-916},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.895},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.
SN - 1051-4651
SP913
EP916
A1 - Francesco Camastra,
A1 - Marco Spinetti,
A1 - Alessandro Vinciarelli,
PY - 2006
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Francesco Camastra, University of Naples Parthenope - Via A. De Gasperi 5, 80133 Napoli (Italy)
Marco Spinetti, Elbahome - Via del Renaio 516, 57034 Marina di Campo (Italy)
Alessandro Vinciarelli, IDIAP Research Institute - CP 592, 1920 Martigny (Switzerland)
Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents C-Cube (Cursive Character Challenge), a new public-domain cursive character database. CCube contains 57293 cursive characters manually extracted from cursive handwritten words, including both upper and lower case versions of each letter. The database can be downoloaded from the web and it provides predefined experimental protocols in order to compare rigorously the results obtained by different researchers.
Citation:
Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli, "Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.," icpr, vol. 2, pp.913-916, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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