【作者】 金炳涛；

【导师】 唐降龙；

【作者基本信息】 哈尔滨工业大学 ， 计算机科学与技术， 2007， 硕士

【摘要】 目前在世界上每天流通的纸币数量巨大,在金融部门内部纸币整理工作是非常繁重的,如何快速准确的纸币清分在银行业中具有非常重要的意义,通过使用灵敏准确的纸币清分机,能使繁琐的钞票清分工作变得简易、快捷和可靠。清分系统的核心技术基础是实时纸币图像处理和图像识别。清分软件对输入的纸币图像进行处理,计算出清分结果并送给清分控制装置,由清分控制装置根据清分结果和清分机当前的运行状态完成清分动作。在清分机的系统中,对实时性要求非常高,也就是纸币经过图像传感器的时候,必须在一定的时间内计算出纸币的面额、面向、朝向等信息,我们选用的距离分类器,它的特性是计算简单,速度快,这也正是我们需要的。本文主要是针对各种外币的特点,在原来人民币清分系统的基础上,作了几点改进:(1)根据多币种的不同特性和时间的要求,给出了快速与抗干扰特征向量的提取的新方法,与原系统和其他成分数的选择方法相比,不但速度,而且具有更高的识别率。(2)外币的种类的多,为了能够进行多币种的分类,根据不同币种我们给出了多级分类器的新方法,该方法根据不同币种,自动选择与组合分类器,最终达到准确清分多种外币的目的。(3)针对纸币的残缺清分需求,给出了一种基于图像边缘特征的污损检测方法,力图有效地检测出纸币上的笔划及撕裂等污损特征,并计算出相应的污损面积。清分程序与控制程序均用C语言编写,高效快速,便于维护和升级。将文中实现的纸币清分机软件系统在浙江金利电子有限公司的JVC-200机型上实际应用表明,该软件系统可以很好地满足需求。更多还原

【Abstract】 There are large numbers of paper currency circulates in the worldwide every day, it is a tough work for staves to sort the paper currency in the financial condition. How to sort the paper currency quickly and correctly becomes very important in the banks. The technology is to process and recognize national paper currency.The key technology of the sorter is real-time image processing. Classifier processes the note image, and then sends the result of the paper currency to controlling system. The machine takes corresponding action to finish the classifying according to the answer. In order to speed up our machine to sort the currency quickly, we select shortest-distance classifier whose feature is computation easy and speed high.We make several improvements according to the differences of different foreign paper currency.(1) Feature extraction is improved. Compared with original method, we give a fast and anti-interference feature extraction. The advantage of this method is that it has a faster speed and better classifying result.(2) There are many kinds of foreign paper currency. In order to classify different kinds of foreign paper currency, we give a multistage classifier. This new method will select and combo different classifiers based on different foreign paper currency and classifies paper currency correctly.(3) Defect detection improvement .An edge-based algorithm is proposed to detect the scratches and cracks appearing frequently on paper currency.The system of the control and classy is programmed with c language. The benefit is quick developing and easy upgrading. We apply the method in this article to the JVC-200 machine and receive a good result.更多还原