【作者】 王志德；

【导师】 刘利；

【作者基本信息】 上海交通大学 ， 机械电子工程， 2008， 硕士

【摘要】 在市场经济高速发展的今天,纸币在市场流通领域扮演着一个重要的角色,而随着技术的发展,假币也越来越猖獗,假币的制作水平也越来越高。出现的某些新假币需要对原有系统进行改进才能有效识别。同时国家对流通人民币的新旧程度提出更高要求。本文首先对纸币防伪原理进行了分析,选用了红外透射、荧光反应、安全线、磁分布等防伪手段,并对防伪手段进行了比较分析,选择了相应的传感器。以单片机作为处理器,设计了硬件和软件系统,实现了点钞、验钞功能。在此基础上针对市场上目前识别难度较高的假币进行了红外数据的采集与分析,确定了真币和假币的分界点。为识别假币提供了一个有效的方法。图像识别技术的引入是为了对残损纸币和过旧纸币进行识别。针对残损纸币和新旧纸币的图像特征进行了分析,采用了直方图和阈值分割的方法进行了图像的处理,找到处理后图像的特点,确定有效数值体现纸币的新旧程度和残损级别。更多还原

【Abstract】 As the China society’s rapid development, paper currency plays an important role in our market-economy. More and more spurious ones follow, too. The level of making false paper currency also improves. Some of the counterfeit paper currency made by modern technology can hardly identified. The cash counter need to be improved. Also the government requests the paper currency in use to maintain a certain degree of quality.Firstly, a cash counter is designed and the identify methods are analyzed. After analyze the Anti-counterfeiting techniques of paper currency, we select infrared transmission technology, fluorescence response technology, safe-line technology and magnetism distributing to identify counterfeit paper currency. The sensors are selected. Hardware and software of control system is designed based on single chip computer, realize the functions of cash count and cash check. We use the machine been designed to collect some infrared transmission data of counterfeit paper currency that is difficult to recognize. After analyze the collected data of infrared transmission, the dividing line between real RMB and counterfeit RMB is founded. It makes the system works effectively.As the paper currency in use has to be at certain degree of quality, the graph recognizes technology is inducted. There are two kinds of paper currency need to be callback, the broken ones and the old ones. To identify these two kinds of paper currency, use histogram and threshold image segmentation to analyze the image of these paper currencies. An effective way is discovered by find the character of processed image.更多还原