首页 | 本学科首页   官方微博 | 高级检索  
     

一种纸币识别方法研究
引用本文:孔凡辉,马吉权,关心,于丽萍. 一种纸币识别方法研究[J]. 计算机工程与应用, 2006, 42(13): 209-212
作者姓名:孔凡辉  马吉权  关心  于丽萍
作者单位:黑龙江大学信息科学与技术学院,哈尔滨,150080;哈尔滨工业大学计算机学院,哈尔滨,150001;黑龙江大学计算机科学与技术学院,哈尔滨,150080;黑龙江大学计算机科学与技术学院,哈尔滨,150080
摘    要:快速准确的纸币清分在银行业中具有非常重要的意义。清分系统包括纸币图像采集、图像预处理、特征提取及分类器设计等几个步骤,其中分类器设计是核心技术基础。论文提出了一种用于高速纸币清分的人民币识别方法,该方法基于整张纸币的特征提取,采用了基于结构风险最小化的高斯混合模型(GMM)设计识别分类器。实验结果表明,提出的方法取得了较高的识别率。

关 键 词:图像识别  特征提取  高斯混合模型  结构风险最小化
文章编号:1002-8331-(2006)13-0209-04
收稿时间:2005-07-01
修稿时间:2005-07-01

Paper Currency Recognition Using Gaussian Mixture Models Based on Structural Risk Minimization
Kong Fanhui,Ma Jiquan,Guan Xin,Yu Liping. Paper Currency Recognition Using Gaussian Mixture Models Based on Structural Risk Minimization[J]. Computer Engineering and Applications, 2006, 42(13): 209-212
Authors:Kong Fanhui  Ma Jiquan  Guan Xin  Yu Liping
Affiliation:1 Institute of Information Science and Technology, Heilongjiang University, Harbin 150080; 2 College of Computer Science, Harbin University of Technology, Harbin 150001; 3 Institute of Computer Science and Technology, Heilongjiang University, Harbin 150080
Abstract:It is important to classify the paper currency at banks quickly and correctly.The system of paper currency recognition includes image eolleetion,preproeessing,feature extraction and classifier design.A critical step is the classifier design.A real time paper currency recognition method is proposed in this paper,which extracts the features based on the whole paper eurreney.A modified GMM is constructed for the Chinese paper currency recognition.The experiments show that GMM which employs structural risk minimization is a more flexible alternative and lead to improved results for Chinese paper currency recognition.
Keywords:image recognition  feature extraction  Gaussian mixture model  structural risk minimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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