Rough Sets and Neural Networks Application to Handwritten Character Recognition by Complex Zernike Moments

Authors:
Roman W. Swiniarski
Affiliations:
-
Venue:
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Year:
1998

Citing 3
Cited 1

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Abstract

The paper presents a hand-written character recognition by the data mining and knowledge discovery software system RoughNeuralLab. In recognition experiments the Zernike moments were applied as the extracted features of character images. For further feature reduction the rough set theory method was applied as a front end of neural network. Eventually the error backpropagation neural network classifiers were designed for the reduced feature subsets.