Computer Science
DOI: 10.1109/iai.1994.336676

tlooto Summary

A new approach of combining several different multi-layer perceptron (MLP) neural network classifiers operating on the same image is developed using pseudo-Zernike moments extracted from the normalized and thinned image of the digit within its bounding circle.

Abstract

Abstract is not available.

Citation format

KHOTANZAD, A.; CHUNG, C. Hand written digit recognition using BKS combination of neural network classifiers. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 1994: 94–99.