Camastra, F. and Vinciarelli, A. (2001) Cursive character recognition by learning vector quantization. Pattern Recognition Letters, 22(6-7), pp. 625-629. (doi: 10.1016/S0167-8655(01)00008-3)
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Publisher's URL: http://dx.doi.org/10.1016/S0167-8655(01)00008-3
Abstract
This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one a learning vector quantizer. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49,000 isolated characters.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Vinciarelli, Professor Alessandro |
Authors: | Camastra, F., and Vinciarelli, A. |
College/School: | College of Science and Engineering > School of Computing Science |
Journal Name: | Pattern Recognition Letters |
Publisher: | Elsevier BV |
ISSN: | 0167-8655 |
ISSN (Online): | 1872-7344 |
Published Online: | 11 April 2001 |
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