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

Camastra, F., Spinetti, M. and Vinciarelli, A. (2006) Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms. In: ICPR 2006. 18th International Conference on Pattern Recognition, Hong Kong, 20-24 Aug. 2006, pp. 913-916. (doi:10.1109/ICPR.2006.895)

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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. C-Cube 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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Camastra, F., Spinetti, M., and Vinciarelli, A.
College/School:College of Science and Engineering > School of Computing Science

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