首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络多国货币种类的识别与研究
引用本文:张平,徐问之.基于神经网络多国货币种类的识别与研究[J].重庆大学学报(自然科学版),1999,22(3):34-40.
作者姓名:张平  徐问之
作者单位:重庆大学计算机学院
摘    要:提出了一整套解决货币种类的识别方案,该方案由一套包含扫描头和探头矩阵在内的计算机硬件和软件系统组成,通过探头矩阵获得货币图案的采样值,应用神经网络实现种类的识别。

关 键 词:神经网络  模式识别  货币识别  国别识别  币值识别
文章编号:1000-582x(1999)03-0034-07

A Study On Variant Paper Currency Recognition By Neural Networks
ZHANG Ping,XU Wen zhi.A Study On Variant Paper Currency Recognition By Neural Networks[J].Journal of Chongqing University(Natural Science Edition),1999,22(3):34-40.
Authors:ZHANG Ping  XU Wen zhi
Affiliation:ZHANG Ping, XU Wen-zhi (College of Computer, Chongqing University, Chongqing 400044,China)
Abstract:The thesis puts forward a set of methods to recognize paper currency. The system censists of computer software and hardware including scanning head and sensor matrix. The type of paper currency is recognized by neural networks with the design samples of paper currency via sensors. The methods are proved effectively and correctly by experiments and computer simulation.
Keywords:Neural Networks  Pattern Recognition / Software and hardware design  
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《重庆大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《重庆大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号