基于支撑矢量机的纸币序列号识别  

The Recognition of Banknote Number of Paper-Money Based on Support-Vector-Machine

作　　者：艾朝霞[1] 李成荣[1] 拓耀飞[1] 

机构地区：[1]榆林学院能源工程学院,陕西榆林719000

出　　处：《榆林学院学报》2011年第4期37-40,共4页Journal of Yulin University

基　　金：榆林学院青年科技基金项目(11YK21)

摘　　要：在完整分割序列号的基础上,将所有字符图像分为训练数据和测试数据,以字符图像本身作为特征,利用支撑矢量机进行训练和识别。利用分类器对两种不同的策略进行了实验(即字母和数字混合识别;字母和数字分别识别),结果表明,后者不但在时间上有所缩短,而且识别率更高,是更为可取的方法。Based on the segmentation of RMB banknote number,the recognition algorithm of the serial number is discussed in the paper.All the character images of the paper money are devided into two groups,the training set and the testing set.SVM is applied to recognize the banknote number and all pixels of images are used as characteristic vector.In the experiment,the banknote numbers are recognized in two ways（The letters and numbers are recognized in mixed or separated ways）.The results show that the later is more advisable than the former.The recognition of denomination numbers are also discussed in the dissertation.

关 键 词：纸币 支撑矢量机 序列号 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]