在车辆牌照识别系统中，牌照的定位是最为关键的环节。
在智能交通等领域，各种车辆牌照识别系统已逐步得到应用。
In the domains of intelligence traffic, various vehicle number plate systems have been used step by step.
车辆牌照识别技术是智能交通系统中采集交通数据的重要技术手段。
The license plate recognition (LPR) is an important technology of traffic data collecting in intelligent traffic system.
本文主要对车辆牌照识别系统中的车牌定位与字符分割技术进行研究。
This paper has studied on license plate localization and character segmentation in LPR system.
车辆牌照识别并与车票数据相关联构成了停车场管理系统的基础附加功能。
The recognition of the license plates and the linkage with ticket data forms the basis for many additional functions in Car Park Management.
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。
Vehicle License Plate Recognition (VLPR) system has been widely used, which is important to the Intelligent Transportation Management system (ITMS).
比较若干不同的边缘检测算子及二值化算法，讨论了其在车辆牌照识别中的应用。
In this paper, some different operators of edge detection together with some thresholding calculations were compared.
基于粗集（RS）理论和神经网络的车辆牌照识别系统由车牌定位和字符识别两部分组成。
Recognition system of license plate based on rough set and neural network is consists of 2 parts for orientation and character recognition of license plate.
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。
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(LPR)作为一个综合的实时计算机视觉系统主要包括牌照定位分割和字符识别两个部分。
As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.
从目前的研究成果来看，车辆牌照识别系统还远未达到完善的程度，利用各种图像处理的新理论和新方法仍是当前研究的热点之一。
Current technique of license plate recognition is far away from perfect. Using new theory and new technology to reform license plate recognition technique is one of the research keys.
对基于人工神经网络的文字识别(ocr)进行了深入的研究，给出了用于车辆牌照识别特征的提取方法，构建了一个三层BP网络用于识别。
OCR based on neural network is further studied in this paper. Method used for recognizing the license plate is give and a three-layer BP network is constructed.
本文主要是讨论针对静态图像的车辆牌照的自动识别技术。
This paper discusses mainly against static image of the vehicle license automatic identification technology.
车牌图像分割是车辆牌照自动识别系统的关键部分。
Number plate extraction is the key component of automatic vehicle license recognition system.
特别地是，通过识别车辆牌照数据可以完成相关手续处理，这样操作者和顾客将更加轻松和节省时间。
Especially the function of tracing back transactions by means of the license plate number offers more comfort and time saving for operators and customers.
车辆牌照自动识别系统是近几年国内外模式识别应用研究领域的一个热点。
Based on the technology of recognizing images and characters, the vehicle license plate recognition system is one of the focused researches on application of pattern recognition.
车辆检测及牌照的识别技术是智能交通系统的重要组成部分，也是计算机视觉和图像处理领域研究的热点。
The technology of vehicle detection and license plate recognition are important parts of intelligent transportation system and hot research focus in image processing field.
汽车牌照自动识别系统的核心技术主要包括车辆定位、字符分割和车牌字符识别。
The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.
所谓软件方式，就是经由过程识别软件对普通的车辆图像进行牌照识别，它的最大优点就是成本低，通用性好。
The so-called software method is through the vehicle recognition software on images of ordinary license plate recognition, and its biggest advantage is low cost, universal good.
所谓软件方式，就是经由过程识别软件对普通的车辆图像进行牌照识别，它的最大优点就是成本低，通用性好。
The so-called software method is through the vehicle recognition software on images of ordinary license plate recognition, and its biggest advantage is low cost, universal good.
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