摘要
纸币新旧检测是纸币清分机中的一个重要功能,与传统的基于纸币反射图像检测纸币新旧等级不同,采用了纸币的透射图像进行纸币新旧检测。根据纸币的新旧程度人工划分为3个等级,分别使用了基于灰度图像整体亮度的新旧检测法和传统的模式识别的方法,采用纸币透射图像直方图分布作为纸币新旧特征,分别使用了KNN、SVM分类器进行分类,并且提出一种简单的级联分类器。实验结果表明级联分类器比KNN和SVM的单独使用有更好的表现。
Classification of new or old banknotes is a important function in the banknote sorter. The transmission image is adopted in this paper to detect new or old banknotes. It is different from the traditional new or old banknote detection based on reflection images. According to the new or old degree of banknotes,all banknote samples are divided into three grades. The new or old banknote detection method based on gray level image brightness and pattern recognition method are used respectively. The histogram distribute of transmission image is used as feature of new or old banknotes. The KNN and SVM classifier are employed to carry out classification. A new cascade classifier which combines SVM and KNN is put forward. Test proves the new cascade classifier is more effective than SVM and KNN in detection of new or old banknotes.
出处
《现代电子技术》
北大核心
2015年第6期101-104,107,共5页
Modern Electronics Technique
关键词
透射图像
模式识别
SVM
级联分类器
transmission image
pattern recognition
SVM
cascade classifier
