A Neural Network Approach for Handwriting Recognition Implementation
This method implements handwriting recognition using a Backpropagation (BP) neural network with accelerated training techniques. It enables rapid pattern recognition for a class of related handwritten fonts with high accuracy rates. When font variations cause reduced recognition performance, the network can be retrained for improved adaptability. Experimental results confirm effective handwritten character recognition, though limitations include slower recognition speeds and occasional training non-convergence issues.