摘要
本文基于Python OpenCV设计了一套车牌识别系统,充分利用计算机视觉类库OpenCV对图像的处理功能,使用Python语言对我国多种类型的汽车牌照完成车牌识别。按照对车牌的预处理、车牌定位、字符分割以及字符识别的顺序进行处理。实验结果表明,本系统可以识别目前社会上存在的绝大多数车牌,包括蓝色车牌、黄色车牌、新能源汽车绿牌。
In the paper,the license plate recognition process based on Python-OpenCV is proposed,which makes full use of the image processing function of the computer vision library OpenCV,and uses Python to complete the license plate preprocessing,license plate positioning,character segmentation and character recognition.The experiment results show that the system can identify the vast majority of license plates in the current society,including blue license plate,yellow license plate and green license plate of new energy vehicles.
作者
李清洲
潘为刚
王书新
Li Qingzhou;Pan Weigang;Wang Shuxin(School of Information Science and Electrical Engineering,Shandong Jiaotong University,Jinan 250357,China)
出处
《单片机与嵌入式系统应用》
2020年第9期59-62,共4页
Microcontrollers & Embedded Systems
基金
山东省研究生导师指导能力提升项目——船舶与海洋工程专业硕士人才培养体系构建及创新工程实践能力培养研究(SDYY17193)。
关键词
OPENCV
车牌定位
高斯滤波
字符分割
字符识别
OpenCV
license plate positioning
gaussian filtering
character segmentation
character recognition
