Vehicle license plate tilt correction approach based on K-L expansion;
车牌倾斜检测与校正是车牌识别的关键技术之一。
In this paper, a vehicle license plate snapping system is proposed as well as designed.
本论文设计开发一种车牌抓拍系统。
The experimental result shows that the approach is good for vehicle license plate locating.
实验结果表明该方法是一种有效的车牌定位方法。
The effect of character edge color information to vehicle license plate location is studied.
研究了字符边缘色彩信息对车牌定位的作用。
A vehicle license plate location method based on morphology under complex circumstances is presented.
针对复杂环境下的车牌定位问题，提出了一种基于形态学的快速车牌定位方法。
In the daylight, the luminescence vehicle license plate is similar to the common vehicle licensee plate;
本字发光车号牌白天和普通牌照相同；
Otherwise, we study the method of vehicle license plate localization and estimating vehicles' appearance.
本文还对车牌定位和车辆外观判断的方法进行了研究。
The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.
车牌分割是汽车牌照自动识别的基础。
The low recognition rate to the poor vehicle license plate images is weakness of the traditional template match method.
传统的模板匹配法的缺点是在车牌图像质量退化时识别率较低。
The Vehicle License Plate Recognition System (LPR) is one of the basic contents of the Intelligent Transport System(ITS).
汽车牌照自动识别技术（LPR）是智能交通系统（ITS）中的基本内容之一。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
The acquisition of vehicle license plate image information is an important link of the automatic recognition for the license plate.
车牌图像信息采集是车牌自动识别的重要环节。
A kind of segmentation method of vehicle license plate characters based on neural networks and color feature is presented in this paper.
论文提出了一种基于神经网络和颜色特征的车牌字符分割方法。
Vehicle License Plate Recognition (VLPR) system has been widely used, which is important to the Intelligent Transportation Management system (ITMS).
车辆牌照识别系统目前得到了广泛的应用，对交通智能管理具有重要的意义。
Absrtact: The recognition of vehicle license plate plays a very important role in intelligence transportation system. It has wide application ranges.
摘要：汽车牌照的自动识别在智能交通系统中占有重要地位，应用前景广阔。
The experimentations indicate that the algorithm can succeed in the detection and orientation of vehicle license plate from noisy license plate images.
实验表明，该算法对含噪的车牌图像能较好地完成检测定位。
This article introduces the DSP software design of the vehicle license plate snapping system and describes the achievement of the JPEG2000 compression.
本文主要介绍了车牌抓拍系统的DSP软件设计，并详细阐述了JPEG2000编码算法的实现。
Major researches in this paper are as follows: 1. Vehicle license plate location is to extract the license plate from which the vehicles images contain.
论文的主要研究工作如下：1。车牌定位，即从包含车牌的车辆图像中提取出感兴趣的号牌。
As a special computer vision system, the vehicle License Plate Recognition system can capture a vehicle automatically and identify the Numbers in the image.
汽车牌照识别系统作为一个专用的计算机视觉系统，能够自动地摄取图像和识别出车牌号码。
An algorithm of license plate location based on line scanning is proposed according to the abundant texture features in the domain of vehicle license plate.
针对车牌区域内字符串具有丰富的纹理特征，本文提出了一种基于行扫描的车牌定位算法。
Through in-depth analysis of current vehicle license plate location, this paper USES of existing efficient methods in consideration of the time and consequents.
通过深入分析现在车牌定位方法，本文从时间和效果两方面考虑，采用现有的比较高效的处理方法。
Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.
因搜索空间太大，现有的车牌号码识别系统所采用的图象分割方法一般说来效率较低。
IT is well known that locating vehicle license plate is a very difficult problem in the fields of image segmentation and ITS (Intelligent Transprotation System).
汽车牌定位是一个公认的较难解决的图象侵害问题。
Kansas vehicle license plate impaled on a tree after an EF5 tornado struck Greensburg, Kansas. Flying debris is the main cause of injuries and deaths in tornadoes.
一场EF 5级龙卷风袭击堪萨斯格林斯堡，将一辆堪萨斯州汽车的牌照钉进了树里。飞扬的瓦砾残片是龙卷风中致伤或致死的主要原因。
As a special computer vision system, the vehicle License Plate Recognition (VLPR) system can capture a vehicle automatically and identify the Numbers in the image.
车辆牌照识别(VLPR)系统作为一个专用的计算机视觉系统，能够自动地摄取图象和识别出车牌号码。
A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.
针对复杂背景及不同光照条件下的车牌图像，提出了一种基于RG B色度空间的车牌定位及校正的新方法，建立了基于RG B色度空间的牌照检测模型。
Vehicle license plate locating is of vital importance in license plate recognition system. This paper proposes a new license plate detection and character segmentation method.
车牌图像定位是车牌照识别系统的关键，该文提出了一种在高速公路复杂背景下的车牌定位与车牌字符分割方法。
Vehicle license plate locating is of vital importance in license plate recognition system. This paper proposes a new license plate detection and character segmentation method.
车牌图像定位是车牌照识别系统的关键，该文提出了一种在高速公路复杂背景下的车牌定位与车牌字符分割方法。
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