摘要
在车辆行驶过程中,其前置摄像头检测前方车辆的牌照时,由于受到环境因素的影响,牌照定位和识别有很大的难度。文章介绍了一种基于YSC颜色识别的车辆牌照定位方法,提出了评价牌照颜色特征的评价函数,采用了栅格划分的方法以实现牌照区域的粗分割。利用颜色评价函数的值,对牌照边界进行精定位,最后根据干扰原因实现干扰区域的排除,从而实现在汽车行驶过程中定位前方车辆牌照。
When the front camera detects the license plate of the vehicle in the front during the driving process,it is very difficult to locate and recognize the license plate due to environmental factors.In this paper,a method of license plate location based on YSC color recognition is proposed,and an evaluation function to evaluate the color characteristics of license plate is proposed.The grid division method is used to realize the rough segmentation of license plate area.Using the value of the color evaluation function,the boundary of the license plate is precisely located.Finally,the interference area is eliminated according to the interference reason,so as to locate the license plate in front of the vehicle in the process of driving.
作者
宋超
李俊峰
Song Chao;Li Junfeng(Xiangyang Polytechnic,Xiangyang Hubei 441050;Hubei Hot Robot Technology Co.LTD.,Xiangyang Hubei 441000,China)
出处
《襄阳职业技术学院学报》
2023年第4期97-102,共6页
Journal of Xiangyang Polytechnic
基金
襄阳市2022年度市级科技计划项目“基于计算机视觉与深度学习的疲劳驾驶预警系统研究”(2022ABH006353)。
关键词
颜色特征
车牌定位
图像识别
color feature
license plate location
image recognition