基于LabVIEW的车牌自动识别算法研究  

Research on Automatic License Plate Recognition Algorithm Based on LabVIEW

作　　者：李雪梅 霍聪颖[1] 车爱静 LI Xue-mei;HUO Cong-ying;CHE Ai-jing(School of Electronic and Information Engineering,Hengshui University,Hengshui 053000,China)

机构地区：[1]衡水学院电子信息工程学院,河北衡水053000

出　　处：《山东工业技术》2024年第4期32-37,共6页Journal of Shandong Industrial Technology

摘　　要：近年来,对车辆的管理越来越智能化,提出了一种基于LabVIEW的车牌自动识别算法,通过摄像头获取汽车图像,利用LabVIEW软件自带的视觉开发模块处理图像信息,通过设置颜色阈值和高级形态学进行车牌定位,然后对车牌进行训练保存样本。当摄像头获取到待识别车牌图像后与样本进行对比判断,达到识别车牌号码的目的。通过对100张车牌图像进行实验,车牌识别的准确率达到99%以上。这种算法开发周期短,成本低,识别准确率高,有很好的应用前景。In recent years,the management of vehicles has become more and more intelligent.An automatic license plate recognition algorithm based on LabVIEW is proposed.The vehicle image is obtained through the camera,the vision development module of LabVIEW software is used to process the image information,the license plate is located by setting the color threshold and advanced morphology,and then the license plate is trained and the sample is saved.When the camera obtains the license plate image to be recognized,it makes comparison and judgment with the sample to achieve the purpose of recognizing the license plate number.Through the experiment on 100 license plate images,the accuracy rate of license plate recognition reaches more than 96%.This algorithm has a short development cycle,low cost and high recognition rate,and has a good application prospect.

关 键 词：LABVIEW 车牌定位 样本训练 OCR识别 

分 类 号：TN913.3[电子电信—通信与信息系统]