摘要
本文在分析人工神经网络原理以及汉字识别原理的基础上,提出了一种用于汉字识别的神经网络,旨在综合汉字识别过程中的噪声去除、特征抽取和识别判决,用例子训练神经网络,取代以前人们用规则对汉字识别系统的训练.
A neural network for the recognition of handwritten Chinese character(HCC) is discussed in the paper. On the basis of neural and neural net, an analog system for the recognition of HCC is proposed. It contains several steps of recognition course, we intend to change the train course by rules into the train course by examples.
出处
《南京邮电学院学报》
北大核心
1990年第4期1-4,共4页
Journal of Nanjing University of Posts and Telecommunications(Natural Science)
关键词
人工神经网络
汉字识别
图象处理
Image processing
Chinese character recognition
Neural network
