Handwritten Digit Recognition of An Integrated Neural Network

In this paper, five features for handwritten digits based on Kirsch algorithm are extracted, and five neural networks with BP learning algorithm are used to train the five features respectively. A BP neural network is finally used to integrate the outputs of the five sub-networks together. Experiments show that the proposed approach is promising. ;;;