利用小波和RBF神经网络进行手写数字识别

A Digital Recognition Method Based on Wavelet and RBF Neural Network

提出一种基于小波和RBF神经网络的手写数字识别方法.该方法首先提取字符的小波特征,以它们作为神经网络的输入向量,然后用RBF神经网络进行识别.对字符样本的识别结果显示,此方法在识别错误率和识别效率等方面均有很好的效果.

A approach to digital recognition based on wavelet and RBF neural network is presented. By this method , the wavelet features are firstly extracted. Then, they are normalized to the input vector of neural network, and RBF neural network is used for recognition. Recognition result based on the method shows that the method achieves excellent performance in terms of recognition error rates and recognition efficiency.