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

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ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

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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 afuzzy 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.