基于神经网络的手写电气元件符号识别系统

The Recognition System of Handwriting Electronic Component Symbols Based on Neural Network

神经网络模式识别在现代数字图像处理中的应用，是数字图像处理技术的一次革 命．以神经网络模式识别技术在电气元件符号图形识别中的应用为对象，着重于手写电气元 件符号自动识别系统的研究，介绍了整个系统的结构和功能，给出了相应的数据流图和主要数 据结构，提出了一种基于神经网络的模式识别方法，并对系统的实际应用作了验证，为进一步 的研究奠定了基础．

The application of neural network in pattern recognition to modern digital-image processing, is a revolution in digital-image processing technology.With the application of neural network in pattern recognition to the recognition of electronic component symbols as the object of study, a research is done on the system of handwriting electronic component symbols' auto-recognition; The construction and functions of the whole system are introduced. The relevant data flow chart and important data construction are presented. A recognition method based on neural network is put foreward and the operation of the system is verified, thus laying a foundation for the further research on the system.