基于尺度不变特征变换的车牌特征提取及BBF匹配方法

针对传统车牌特征提取及匹配不足,提出了基于尺度不变特征变换（Scale invariant feature transform, SIFT）的车牌特征提取及 (Best Bin First,BBF)匹配方法。通过构建车牌字符标准模板,采用SIFT算法提取标准模板和待检测车牌中每个字符的SIFT特征向量,主要包括车牌高斯差分(Difference of Gauss, DoG)空间极值点检测,去除边缘相应点和低对比点,确定特征向量的方向和生成车牌特征向量。利用BBF(Best Bin First )算法完成标准模板特征向量与待检测车牌特征向量匹配,并获取识别结果。最后给出实验分析,证明该算法的识别率。     

Multinational vehicle license plate detection in complex backgrounds

Many methods for multinational License Plate Detection (LPD) have been proposed in recent times but most of them are not sophisticated enough to handle complex backgrounds. Moreover, their ability to handle various environmental and illumination conditions has been limited and still needs improvement. In this paper, we propose a novel technique to detect license plates of vehicles regardless of their color, size, and content. As the rear vehicle lights are an essential part of any vehicle, we reduce the image processing area to eliminate the complex background by detecting the rear-lights as the license plates are in a certain range of these lights. Heuristic Energy Map (HEM) of the vertical edge information in the Region of Interest (ROI) is calculated and area with the dense edges is selected using a unique histogram approach which is considered to be the license plate. The proposed algorithm is tested on 855 images from various countries including China, Pakistan, Serbia, Italy and various states of America. Experimental results show that the proposed method is able to detect license plates 90.4% of times despite of complex backgrounds in 0.25 s on average that can achieve real time performance.     

License Plate Recognition for Parking Control System by Mathematical Morphology

Nowadays, license plate recognition for parking systems is a critical task to provide automatic control of customers and payment. This paper introduces a new method for automatic recognition of license plates of vehicles by mathematical morphology.The proposed method can provide the license plate number of the plates in different light conditions, colors,sizes, and inclination(angles). The algorithm can recognize the license plates of European Union vehicles quickly and correctly. The pattern learning of mathematical skeletons has high efficiency in the process. The performance of the algorithm is demonstrated well by the test in a parking control system.     

核电站操纵员申请执业证照的医学认证

核电站操纵员和高级操纵员申请许可证时, 必须满足身体和心理健康方面的要求。本文介绍首次获取资格执照以及已持有执照的操纵员在续照时在身体和心理健康方面须满足的条件、检查方法和持续监督方法的医学认证。     

基于车牌自动识别立体车库智能停车管理系统研究

针对立体车库现有停车管理系统所存在的缺陷,提出一种基于车牌自动识别技术的智能停车管理系统.系统采用主从式结构,分别为用作管理控制的上位机和车牌识别系统与车辆存取系统的下位机,并完成了系统的软硬件设计.通过对上位机管理软件与下位机单片机显示控制之间的调试,证明了系统的实用性和可靠性.     

HSV空间和形态学处理相结合的车牌定位方法

车牌定位是实现车牌自动识别的前提.在传统的基于RGB彩色空间的形态学定位方法的基础上进行改进,提出了一种HSV彩色空间和图像形态学处理相结合的车牌定位方法.在HSV彩色空间中将车牌图像分割为H,S,V这3个单通道灰度图像,分别进行去噪和二值化处理,然后将这3幅二值图像做“与”运算得到一幅能有效去除背景干扰的二值图像,再运用形态学的闭运算和开运算进行处理,得到车牌候选区域,最后利用车牌宽高比属性进行验证以确定真实的车牌位置.实验结果表明,该方法相对传统方法实现简单,车牌定位准确、高效.     

基于数字图像处理的车牌识别专家系统的研究

车牌识别系统（License Plate Recognition,简称LPR）技术基于数字图像处理,是智能交通系统中的关键技术之一,同时它的发展也十分迅速,已经逐渐融入到我们的现实生活中。对车牌图像预处理、车牌定位与字符分割等技术进行了详细分析,从算法分析和实验研究两个角度,对LPR系统字符识别部分进行了深入研究。文章介绍了车牌识别系统的意义、图像去噪处理以及图像二值化方法,并通过仿真试验模拟了图像处理的过程。实验证明了文中的图像处理方法用于车牌识别的有效性。     

车辆牌照自动识别技术研究与应用

本文在分析车辆牌照自动识别原理、组成及方法的基础上，完成了车牌识别系统的软件部分设计、开发与实验。     

License Plate Recognition for Parking Control System by Mathematical Morphology

Nowadays, license plate recognition for parking systems is a critical task to provide automatic control of customers and payment. This paper introduces a new method for automatic recognition of license plates of vehicles by mathematical morphology. The proposed method can provide the license plate number of the plates in different light conditions, colors, sizes, and inclination (angles). The algorithm can recognize the license plates of European Union vehicles quickly and correctly. The pattern learning of mathematical skeletons has high efficiency in the process. The performance of the algorithm is demonstrated well by being tested on a parking control system.     

基于复合顺序形态变换的车牌边缘检测

边缘检测是图像分割的重要环节,边缘提取的好坏直接影响了整个图像处理的效果。数学形态学用具有一定形态结构的“结构元素”去度量图像的形态,以解决图像处理和分析问题。文章通过对多种边缘检测方法的分析比较,结合高速公路路口汽车图像噪声大的特点,提出了基于复合顺序形态变换的车牌边缘检测。该方法不但能有效地改善有噪图像边缘检测的效果,鲁棒性好,而且并行快速,便于硬件实现。