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A New Fuzzy Geometric Representation for On-Line Isolated Character Recognition

Jean-François Hébert, Marc Parizeau and Nadia Ghazzali

Abstract - This paper introduces a new fuzzy representation for isolated character description. This representation maps a character from its original sequence of 2D coordinates into a fuzzy vector space that can thereafter serve as input to any artificial neural network classifier. Recognition experiments on isolated digits extracted from the UNIPEN database are then conducted to evaluate the performances of the proposed representation using an hybrid Kohonen-Perceptron (KP) neural network.

Bibtex:

@inproceedings{Hébert54,
author    = { Jean-François Hébert and Marc Parizeau and Nadia Ghazzali },
title     = { A New Fuzzy Geometric Representation for On-Line Isolated Character Recognition },
booktitle = { Proc. of the 14th International Conference on Pattern Recognition, Brisbane (Australie) },
pages     = { 1121-1123 },
year      = { 1998 },
month     = { August },
location  = { Brisbane (Australie) }
}

Dernière modification: 2002/06/14 par parizeau

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