摘要
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。
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.
出处
《山西电子技术》
2012年第3期23-25,共3页
Shanxi Electronic Technology
