【摘要】：隨著人民幣發(fā)行量、流通量不斷地增長,人民幣國際化的深入推進(jìn),我國人民幣流通領(lǐng)域點(diǎn)驗(yàn)鈔機(jī)具、清分機(jī)、ATM機(jī)等金融設(shè)備急需提高其自動(dòng)化、信息化水平,以確保人民幣的流通效率和管理水平,有效打擊紙幣造假犯罪活動(dòng),保障人民幣職能作用和金融體系的安全。本文分析了我國金融設(shè)備行業(yè)現(xiàn)有的人民幣紙幣檢測(cè)技術(shù)存在的不足與缺陷:光磁特征多采用定性分析及低水平定量分析鑒別、多傳感器特征鑒別方法相對(duì)孤立及信息融合能力較弱、智能算法復(fù)雜度偏高及實(shí)時(shí)性較差等,并針對(duì)傳感器特征鑒別方法孤立及信息融合能力較弱等問題,從多傳感器紙幣檢測(cè)機(jī)電驗(yàn)證平臺(tái)搭建與基于多傳感器信息紙幣圖像處理算法研究等方面展開了基于多傳感器信息處理的紙幣檢測(cè)若干關(guān)鍵技術(shù)研究。多傳感器紙幣檢測(cè)機(jī)電驗(yàn)證平臺(tái)搭建工作包含機(jī)電平臺(tái)搭建與檢測(cè)控制系統(tǒng)的軟硬件設(shè)計(jì)。通過對(duì)機(jī)電驗(yàn)證平臺(tái)的搭建,實(shí)現(xiàn)了機(jī)電平臺(tái)傳送機(jī)構(gòu)在檢測(cè)控制系統(tǒng)控制下傳送紙幣依次經(jīng)過機(jī)電平臺(tái)各傳感器模組的運(yùn)動(dòng)控制過程,實(shí)現(xiàn)了紙幣光學(xué)、磁性及圖像等紙幣防偽特征原始數(shù)據(jù)的動(dòng)態(tài)采集與上傳至PC保存,為實(shí)現(xiàn)紙幣防偽特征定量分析鑒別的離線仿真算法研究提供數(shù)據(jù)支撐。檢測(cè)控制系統(tǒng)包含機(jī)電控制與光磁檢測(cè)系統(tǒng)和基于FPGA與CIS紙幣圖像采集系統(tǒng),2個(gè)子系統(tǒng)間充分利用其控制接口與通信接口實(shí)現(xiàn)了系統(tǒng)間協(xié)同工作與多傳感器鑒別信息的共享,為實(shí)現(xiàn)多傳感器信息融合算法實(shí)物仿真研究提供平臺(tái)條件。在基于多傳感器信息紙幣圖像處理算法研究工作中,首先利用加權(quán)最小二乘法對(duì)傾斜的紙幣圖像進(jìn)行傾斜檢測(cè)并通過錯(cuò)切變換算法校正紙幣圖像,確保了紙幣圖像冠字號(hào)碼等特征區(qū)域的正確分割提取。通過與隨機(jī)Hough變換和普通最小二乘法傾斜檢測(cè)實(shí)驗(yàn)對(duì)比,仿真結(jié)果表明本文傾斜檢測(cè)算法具有計(jì)算量小、穩(wěn)定性好等特點(diǎn),可快速實(shí)現(xiàn)紙幣圖像傾斜校正。在紙幣圖像傾斜校正基礎(chǔ)上,基于機(jī)電驗(yàn)證平臺(tái)可實(shí)現(xiàn)多傳感器鑒別信息共享?xiàng)l件,利用磁性特征鑒別信息識(shí)別紙幣面值面向信息,實(shí)現(xiàn)紙幣圖像冠字號(hào)碼快速分割提取與識(shí)別算法的研究�；诙鄠鞲衅餍畔⒓垘艌D像特征區(qū)域分割提取算法有利于移植到FPGA紙幣圖像采集系統(tǒng)中,以減少典型嵌入式紙幣圖像處理系統(tǒng)中DSP處理單元處理任務(wù)。本文著重從多傳感器紙幣檢測(cè)機(jī)電驗(yàn)證平臺(tái)搭建及基于多傳感器信息紙幣圖像處理算法前期仿真研究等方面展開基于多傳感器信息處理紙幣檢測(cè)技術(shù)的研究,為多傳感器信息融合算法研究提供原始數(shù)據(jù)與實(shí)物仿真驗(yàn)證平臺(tái),為簡化紙幣圖像處理算法與流程,合理分配嵌入式紙幣圖像處理系統(tǒng)各處理單元任務(wù)以提高各單元協(xié)同工作能力及紙幣圖像處理效率進(jìn)行了有益的前期研究嘗試。
[Abstract]:With the increasing of RMB circulation and circulation, and the deepening of RMB internationalization, the level of automation and information technology is urgently needed to be improved in China's financial equipment, such as banknote checking machines, sorting machines, ATM machines, and so on, in the area of RMB circulation. In order to ensure the efficiency and management level of RMB circulation, effectively crack down on the criminal activities of banknote counterfeiting, guarantee the function of RMB and the security of financial system. This paper analyzes the shortcomings and defects of the existing RMB banknotes detection technology in China's financial equipment industry: the optical and magnetic characteristics are mostly identified by qualitative analysis and low level quantitative analysis. The multi-sensor feature identification method is relatively isolated and the ability of information fusion is weak, the complexity of intelligent algorithm is on the high side and the real time is poor, and so on, and aiming at the problems of the isolation of sensor feature identification method and the weak ability of information fusion, etc. Several key techniques of paper currency detection based on multi-sensor information processing are studied from the aspects of multi-sensor paper currency detection electromechanical verification platform and image processing algorithm based on multi-sensor information. The multi-sensor paper currency detection and electromechanical verification platform includes the hardware and software design of the electromechanical platform and the detection and control system. Through the construction of the electromechanical verification platform, the paper currency transfer mechanism under the control of the detection and control system realizes the motion control process of each sensor module of the electromechanical platform in turn, and realizes the paper currency optics. The original data of magnetic and image anti-counterfeiting features are dynamically collected and uploaded to PC to provide data support for the off-line simulation research of quantitative analysis and identification of banknote anti-counterfeiting features. The detection and control system includes electromechanical control and optomagnetic detection system and paper money image acquisition system based on FPGA and CIS. The two subsystems make full use of their control interface and communication interface to realize the sharing of cooperative work and multi-sensor identification information between the two subsystems. It provides a platform for the simulation of multi-sensor information fusion algorithm. In the research work of paper currency image processing algorithm based on multi-sensor information, firstly, the weighted least square method is used to detect the tilt of the skewed banknote image and the miscut transform algorithm is used to correct the banknote image. It ensures the correct segmentation and extraction of the feature areas of banknote image, such as crowning and number. Compared with the experiments of random Hough transform and ordinary least square method, the simulation results show that the proposed algorithm has the advantages of small computation and good stability, and can quickly realize the skew correction of paper currency images. Based on the skew correction of banknote image and the electromechanical verification platform, the multi-sensor discriminant information sharing condition can be realized, and the face value information of banknotes can be identified by using magnetic feature discriminant information. Research on fast segmentation and recognition algorithm of banknote image. The feature region segmentation and extraction algorithm based on multi-sensor information paper currency image is advantageous to transplant to FPGA paper currency image acquisition system, in order to reduce the processing task of DSP processing unit in typical embedded paper currency image processing system. This paper focuses on the multi-sensor paper currency detection based on the establishment of electromechanical verification platform and based on multi-sensor information paper currency image processing algorithm simulation research based on multi-sensor information processing paper currency detection technology. In order to simplify the algorithm and flow of paper currency image processing, the paper provides a platform of raw data and physical simulation verification for the research of multi-sensor information fusion algorithm. In order to improve the cooperative ability of each unit and the efficiency of paper money image processing, a beneficial preliminary research attempt was made by allocating the tasks of each processing unit of embedded paper currency image processing system.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212.9

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