基于图像处理的车牌识别系统设计
Design of Vehicle License Plate Recognition Based on Image Processing
查安秦1
作者信息
- 1. 广州软件学院 广东省广州市 510990
- 折叠
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.
Abstract
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.
关键词
车牌检测/图像处理/图像分类/卷积神经网络Key words
license plate recognition/image processing/image classification/convolutional neural network引用本文复制引用
出版年
2023
NETL
NSTL
维普
万方数据