摘要
在提倡发展智能交通系统的背景下,提出了使用共享车位的方法来解决停车过程中遇到的问题,这样就有了共享车位锁的诞生,然而现在的共享车位锁的性能和智能程度不是很高,所以本设计研究的目的就是要通过将基于OpenCV的车牌识别技术应用到共享车位锁上来提高车位锁的性能和智能程度。本设计使用Linux内核的嵌入式处理器作为采集和处理终端,利用适用Linux系统的V4L2框架来驱动摄像头采集图像,利用OpenCV开源库来做图像处理,利用字符模板匹配法来识别字符,利用识别返回的结果控制反馈模块进行反馈。经测试表明:识别车牌时可以较好的识别出字母和数字,汉字的识别还要优化,主要是字符模板匹配法的识别算法还要优化,数据采集和图像处理较稳定。
In the context of advocating the development of intelligent transportation systems,a method of using shared parking spaces was proposed to solve the problems encountered in the parking process,which led to the birth of shared parking locks,but the performance and intelligence of current shared parking locks is not very high.The purpose of this design research is to improve the performance and intelligence of parking locks by applying open CV-based license plate recognition technology to shared parking locks.This design makes full use of the embedded processor of the Linux kernel as the collection and processing terminal,which means the V4L2 framework of the Linux system to drive the camera to collect images,the open CV open source library for image processing,the character template matching method to identify characters,and the result of the control feedback module for feedback are adopted to.Tests show that letters and numbers can be better recognized when recognizing license plates.And the recognition of Chinese characters needs to be optimized,the recognition algorithm of the character template matching method should be optimized,and the data collection and image processing are more stable.
作者
陈征
汪琳霞
Chen Zheng;Wang Linxia
出处
《时代汽车》
2020年第23期125-126,共2页
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基金
湖南省大学生研究性学习和创新性实验计划项目《车牌识别技术在共享车位锁上的应用研究与实现》项目编号:2018XJXZ113。
关键词
智能交通
共享车位
车牌识别
intelligent transportation
shared parking spaces
license plate recognition
