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基于荧光光谱法的钞票识别技术
引用本文:黄鹰,谢艳红,易新建.基于荧光光谱法的钞票识别技术[J].应用光学,2008,29(4):629-632.
作者姓名:黄鹰  谢艳红  易新建
作者单位:华中科技大学,光电子科学与工程学院,湖北,武汉,430074
基金项目:国家自然科学基金资助项目
摘    要:以光栅光谱仪为基础,光电倍增管作为探测器,运用VC++语言设计了计算机采样界面,形成了荧光光谱分析的钞票识别光电系统。在紫光灯激发下,对钞票进行了荧光光谱特性分析,设计了基于荧光光谱分析的钞票识别光学系统、光电信号的检测和信号处理系统。测试结果表明:真假币的荧光光谱曲线有着明显的区别,它们的峰值分别为545nm和525nm。设计的荧光光电系统灵敏度高,可靠性好。

关 键 词:光谱学  钞票识别  荧光光谱分析  光电系统
收稿时间:2008/1/27

Banknote recognition technology based on fluorescence spectrum analysis method
HUANG Ying,XIE Yan-hong,YI Xin-jian.Banknote recognition technology based on fluorescence spectrum analysis method[J].Journal of Applied Optics,2008,29(4):629-632.
Authors:HUANG Ying  XIE Yan-hong  YI Xin-jian
Institution:Institute of Optoelectronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:A banknote recognition photoelectric system based on grating spectrometer was developed, in which aphotomultiplier tube was used as a detector and a computer sampling interface was designed by VC++ language. The fluorescence spectral characteristics of the banknote are analyzed when it is stimulated by a ultraviolet lamp. The optical system, the optoelectronic signal detection and the signal processing system were designed based on fluorescence spectral analysis. The testing results indicate that the fluorescence spectral characteristics of the true banknote are quite different from those of the counterfeit, their peak values appear at 545nm and 525nm respectively. The fluorescence recognition system is sensitive and reliabile.
Keywords:spectroscopy  banknote recognition  fluorescence spectrum analysis  photoelectric system
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