基于多级分类器的自由手写数字在线识别

Multi stage Classifier for Unconstrained Handwritten Numerals Recognition

设计了一种用于手写字符在线识别的多级分类器模型。在该模型中，通过对四个独立的分类算法进行集成，将脱机方法与联机方法，神经网络方法与传统方法有机地结合起来构成一个完整的手写字符在线识别系统．理论分析和实验结果表明，该集成系统比单一系统具有明显的优越性。

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.