Multi stage Classifier for Unconstrained Handwritten Numerals Recognition

A multi stage character classifier model is presented. By combining four independent algorithms, we integrate on line recognition method, off line recognition method, neural network method, tradition method into an unique pattern recognition system. The results and experiments show that our system has the merit of high recognition rate.

Project Supported:

Clc Number:

TP391.4