摘要
在车牌识别 (LPR)系统的实现过程中 ,最关键的部分就是车牌图像的提取以及车牌字符图像的分割。本文详细介绍了一种实际应用的车牌识别系统中的图像提取及分割的过程。针对车牌的固有特点 ,设计了一个变换函数突出其特点从而进行车牌的提取 ;对车牌字的图像分割提出并解决了一些在实际中应该注意的地方。理论分析及实验结果表明文章中提出的方法是非常有效的。在我们的实验中 ,在PentiumⅡ 30 0 ,内存 6 4M的环境 ,从图像输入到识别结果输出的平均时间大概为 0 .6秒。
The key portions in the Vehicle License Plate Recognition (LPR) are License Plate Image Extraction and Character Image Segmentation.In this paper the two portions of an applied LPR are introduced in detail.The author designed a function to extrude the characteristics of vehicle license plate so as to extract the license plate image from complex background.In segmentation some important problems encountered in practice are put forward and solved.Theoretical analyses and experimental results demonstrate that the methods introduced in this paper are very effective.The total time from input of an image to output of the recognition results is about 0.6s.
出处
《中文信息学报》
CSCD
北大核心
2000年第4期29-34,共6页
Journal of Chinese Information Processing
基金
国家自然科学基金!(6 0 0 430 0 1)
关键词
车牌识别
LPR
图像复原
图像提取
图像分割
license plate recognition (LPR)
image restoration
image extraction
image segmentation
