在车牌定位系统中，我们用两个模块分别对图像预处理、图像的边缘检测和分割的若干方法进行编程实验。
In the system of license plate location, we used two modules block answer the image preprocessing and image of edge detection and intersected, programme and experiment were done for several methods.
软件组成系统主要包括运动检测算法、车牌定位算法和字符识别算法。
The software system includes algorithms for movement detection, vehicle card orientation and character recognition.
车牌定位在车牌自动识别系统中占有非常重要的地位。
License plate orientation plays an important role in license plate recognition system.
本文对车牌识别系统的车牌定位、字符分割和字符识别进行了系统的研究。
This paper has studied a lot of method and theory about vehicle plate location, character divide and character recognition systemically.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
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.
一个典型的车牌识别系统包括图像捕获、车牌定位分割、字符分割、字符识别和识别结果处理等部分。
A typical LPR system will include image collecting part, plate location and result processing part, character segmentation part, character recognition part and result processing part etc.
而车牌定位是该系统的关键之一。
一个典型的车牌识别系统包括图像捕获、车牌定位分割、字符分割、字符识别和识别结果处理等部分。
A typical LPR system will include image collecting part, plate location and segmentation part, character segmentation part, character recognition part and result processing part etc.
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.
针对现代(智能)交通中的车牌自动识别系统给出了一种快速的车牌定位算法。
A fast locating algorithm against an automatically recognizing vehicle number plate system in modern (intelligent) traffic is given.
汽车牌照识别系统主要包括三个部分：车牌预处理和定位、字符的分割以及单个字符的识别。
License plate Recognition system includes three parts: plate pretreatment and positioning, character segmentation and identification of a single character.
车牌识别系统主要包括车牌定位和字符识别。
The license plate recognition system contains two main parts:license location and character recognition.
该系统由两个重要步骤组成：1基于灰度方差的车牌定位算法，2结合连通域分析和投影分析的字符切分算法。
The proposed method is divided into two steps: 1 license plate location by the variance of gray image, and 2 license plate segmentation by connected components analysis and projection analysis.
最后，以车牌的初定位实验在系统中的实现过程为例，分析了实验在系统上的实现过程和优化过程。
Finally, realization process of location of license plate is used to illustrate the realization and optimization of the experiment on the system.
车牌定位是自动车牌识别的难点，其定位的时间和精度直接影响整个车牌识别系统的性能。
License locating is the difficulty of the license plate automatic recognition. The locating time and accuracy directly impact the license plate system's recognition performance.
作为一个综合的实时计算机视觉系统，汽车牌照识别技术主要包括牌照定位和牌照识别两个部分。
Being a special computer vision system in the real-time case, the LPR system mainly includes the subsystem of license plate detection and character recognition.
车牌识别系统一般包含车牌定位分割、字符切分、字符识别三个主要模块。
Generally, LPR system mainly comprises modules of plate location, character isolate and character recognition.
车牌识别系统包含三个部分；车牌定位、字符分割和字符识别。
The LPR algorithm consists of three steps: license plate locating, character segmentation and character recognition.
实验证明通过对车牌定位的并行实现，提高程序处理效率，进而提升了车牌识别系统的实时性。
The results show that because of positioning license plate in parallel, it improved the procedure efficiency, and improved the real-time ability of the license plate recognition system finally.
车牌识别系统主要由硬件和软件构成，本文主要介绍了车牌识别系统中的车牌定位与车牌字符分割算法。
LPRS is consisting of hardware and software, and this article studies the algorithm of license plate location and the algorithm of license plate character segmentation in LPRS.
车牌识别系统主要包括车牌图像预处理、车牌定位、字符分割和字符识别四大部分。
Vehicle license plate recognition system consists of 4 parts, which are license plate image preprocessing, license plate localization, character segmentation and character recognition.
车牌定位是车牌自动识别系统中关键的第一步，传统的最大梯度差算法按图像像素矩阵的顺序进行扫描和运算，存在运算量大，耗时长的缺点。
The traditional MGD (maximum gradient difference) algorithm based on the order of the image pixels matrix has the shortcomings of the large operation measure and long-time running.
车牌识别系统分为车牌定位、字符分割和字符识别三个部分。
License plate recognition system is consisted by three parts: License plate location, character segmentation and character recognition.
本文对车牌识别系统中的车牌定位和车牌字符分割这两个主要问题，开展了部分研究工作。
The thesis aims at researching the following two aspects in the License Plate Recognition System: license plate location and character segmentation.
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.
针对车牌定位计算量大、定位时间长问题，设计了一套快速实用的定位系统。
Concerning the license plate with a great amount of location computation and long positioning time, a fast and practical positioning system is designed.
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.
汽车牌照定位是汽车牌照自动识别系统中第一个环节，定位的准确与否对系统起关键性的作用。
The location of the vehicle license plate is the first step in the automotive vehicle license plate recognition system and the accuracy of locating plays an important role in this system.
汽车牌照定位是汽车牌照自动识别系统中第一个环节，定位的准确与否对系统起关键性的作用。
The location of the vehicle license plate is the first step in the automotive vehicle license plate recognition system and the accuracy of locating plays an important role in this system.
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