摘要
神经网络被广泛地应用于字符识别,通过对其难点问题的分析,为了提高字符识别率,本文应用改进型BP神经网络进行字符识别,该算法识别率高,速度快,可适用于多种高噪声环境中,实用性很强。
Neural network is widely applied for character recognition. Through the analysis of the problems, this paper recognizes character by the application of improved BP neural network, so as to improve recognition rate. This method has high recognition rate, fast speed, strong practicability, and can be applied to various high noise environment.
出处
《价值工程》
2014年第10期206-207,共2页
Value Engineering
关键词
神经网络
图像预处理
特征提取
字符识别
neural network
image preprocessing
feature extraction
character recognition
