摘要
本论文提出了一种基于图像处理的车牌识别系统设计,系统分为三个部分,第一部分,对采集的图像进行灰度化,图像平滑,边缘检测等操作以进行预处理。第二部分,对预处理后的图片进行车牌定位,并作倾斜矫正。最后使用卷积神经网络,对车牌字符分割后提取出来单个字符的结果进行识别。
This paper presents a design for a license plate recognition system which based on image processing.The system was divided into three parts.The first part is preprocessing,which will conduct grayscale conversion,image smoothing and edge detection to captured images.The processed images will be used for license plate localization and incline correction in the second part.Finally,the segmented license plate characters will be recognized by a convolutional neural network.license plate recognition,image processing,image classification,convolutional neural network.
出处
《时代汽车》
2023年第23期115-117,共3页
Auto Time
基金
广州软件学院科研项目(ky202220)。
关键词
车牌检测
图像处理
图像分类
卷积神经网络
license plate recognition
image processing
image classification
convolutional neural network
