Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.

Authors:
Francesco Camastra;Marco Spinetti;Alessandro Vinciarelli
Affiliations:
University of Naples Parthenope - Via A. De Gasperi 5, 80133 Napoli (Italy);Elbahome - Via del Renaio 516, 57034 Marina di Campo (Italy);IDIAP Research Institute - CP 592, 1920 Martigny (Switzerland)
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

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.