CAJ | 학술논문

设计研究人民币纸币识别控制系统中的主要模块,如图像采集、控制模块。在硬件部分,选用STC12C2052作为控制系统的芯片,选用MVC1000M作为图像的采集器件;在软件部分,在红外和紫外光源的作用下通过高清摄像头拾取图影信息,通过与数据库中的真版人民币特征的数据比对来判断真伪,选取预处理之后的纸币图像的尺寸特征用模糊逻辑推理方法识别图像的面值,提取矩作为特征。通过实验证明该控制系统的有效性和可行性。
설계연구인민폐지폐식별공제계통중적주요모괴,여도상채집、공제모괴。재경건부분,선용STC12C2052작위공제계통적심편,선용MVC1000M작위도상적채집기건;재연건부분,재홍외화자외광원적작용하통과고청섭상두습취도영신식,통과여수거고중적진판인민폐특정적수거비대래판단진위,선취예처리지후적지폐도상적척촌특정용모호라집추리방법식별도상적면치,제취구작위특정。통과실험증명해공제계통적유효성화가행성。
The article mainly makes a design to study on the main module of the RMB banknotes recognition control system,such as image acquisition and control module.In the hardware section,it selects STC12C2052as a control system chips and MVC1000M as the image acquisition device;in the software part,the true version of the RMB data in database is compared with the image information picked up with high-definition camera under the infrared and ultraviolet light source to determine the authenticity.The paper also selects pretreatment with fuzzy logic inference method to identify the image face value,and extracts the moments as the features of experiments to prove the effectiveness and feasibility of the control system.