Multi-prototype classification: improved modellingof thevariability of handwritten data using statistical clusteringalgorithms
- 3 July 1997
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 33 (14) , 1208-1210
- https://doi.org/10.1049/el:19970848
Abstract
The principal obstacle in successfully recognising handwritten data is the inherent degree of intra-class variability encountered. This calls for subclass modelling of handwritten data based on the statistically significant variations within the main classes. A novel multi-prototyping approach based on statistical clustering techniques is investigated as an appropriate solution to this problem and very encouraging results have been achieved.Keywords
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