一种基于图像增强的弱光背景下车辆牌照识别方法  

A Method of License Plate Recognition in Weak Light Background Based on Image Enhancement

作　　者：周原[1] 姚汝贤[1] 姚巧鸽[1] 

机构地区：[1]黄淮学院信息工程学院

出　　处：《微型电脑应用》2014年第3期30-31,共2页Microcomputer Applications

摘　　要：针对弱光背景下图像的对比度较低,常规的车辆牌照识别方法难以准确识别车牌信息的问题,提出一种弱光背景下对车牌信息识别的新方法。先通过直方图匹配和空域滤波进行图像增强预处理,以提高图像对比度,再通过锐化信号边缘,提高信号边缘的定位精度,最后对增强后的车牌图像进行识别。实验结果表明,该方法对弱光背景下的车牌信息可以进行较好地识别,具有一定的实用性和鲁棒性。As the contrast of image in weak light background is low, general method of license plate characters are dllhcult to identi- fy accurately. This paper presents a method of license plate recogonition in weak light background. Firstly, enhanced image contrast with histogram matching and spatial filtering, then, sharpened the image edges, improved the position accuracy of the image edges, finally, we processed the enhanced image. The experiment results show that the method is satisfactory, and it has a certain practicality and robustness.

关 键 词：直方图匹配 空域滤波 车牌识别 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]