摘要
应用海明和竞争网络,研究一种新型的数字字符自动识别(ATR)方法。并对该字符识别方法的实现的技术路线作了较为详细的讨论,对1000帧连续进行实验时间字符判读准确率为95%,达到了字符比较准确自动识别的目的。
The research purpose of this paper is to use Hamming and Comepetion Neural Network technology, to devolop a new digital charater identifying method. This charater identifiy method provide reliable approach to recoguise character. It provides a practical approach for practical application.
出处
《长春理工大学学报（自然科学版）》
2008年第3期152-154,共3页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
中科院创新项目(1186000345)
关键词
海明与竞争网络
数字字符
自动识别
hamming and comepetion neural network
numeric character
auto target recognise
