基于HALCON与MFC汽车牌照识别技术研究  

Vehicle License Plates Recognition Research Based on HALCON and MFC

作　　者：王涛 张乐[1] 

机构地区：[1]无锡太湖学院机电工程学院,江苏无锡214000 [2]江苏省物联网重点建设实验室,江苏无锡214000

出　　处：《工业控制计算机》2020年第8期102-104,共3页Industrial Control Computer

摘　　要：针对传统车牌识别算法开发周期长、程序开发平台复杂等问题,采用HALCON作为图像处理核心软件,将机器视觉应用于汽车牌照识别,通过微软基础类库MFC与HALCON联合编程搭建汽车车牌识别平台进行实验验证。结果表明,常规场景下车牌识别准确率达95%,车牌识别效果较好。For the problems of long-periodic application development and complicated environment,the machine vision software HALCON is taken as the core image processing tool to implement car license plates recognition.A recognition platform based on hybrid programming of HALCON and Microsoft Foundation Classes(MFC)is established in this paper.The experiment results show that the accuracy under conventional condition reaches 95%,which demonstrates the effectiveness of the platform.

关 键 词：机器视觉 图像处理 MFC 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U495[自动化与计算机技术—计算机科学与技术]