An Algorithm of Cigarette Authentication Based on Morphological Processing and SVM

摘要：

It is obvious that the characters are illegible and the printing is rough on the package of fake cigarettes compared to genuine ones. According to the differences of comparison, we can make a two-class classifier to conduct cigarette authentication. In this paper, we firstly both extract morphological features of fake and genuine cigarettes and then use them as training sample sets to train a two-class SVM classifier. This algorithm has been tested on five brands of cigarettes and it gives results with more than 95％ accuracy.

关键词： Morphological processing Support Vector Machine OpenCV LIBSVM

作者: Yuanyuan ZHANG Guangmin SUN Qian REN Dequn ZHAO

作者单位: Department of Electronic Engineering Beijing University of Technology Beijing, 100124, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 768-771

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）