对汽车牌照的定位与分割技术进行了详细的论述。
Introduced the technology of orientation and segmentation of car plate in detail.
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.
车牌定位；字符分割；特征提取；字符识别；神经网络。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
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.
车牌图像定位与分割。
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.
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.
本文的处理手段是对输入的汽车图像进行预处理，运用车牌定位、字符分割、字符识别的方法提取车牌上的字符串，并以文本的形式输出。
Its measure is to deal with the inputted images, exploit license plate location character segmentation character recognition to extract the character strings, and express these strings in text form.
车牌定位部分设计并实现了基于边缘检测和区域搜索的定位分割方法。
In the part of plate location and segmentation, we designed and implemented a method through edge detection and plate region search.
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.
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.
本文提出了一种基于色彩分割、体态分析及数学形态学纹理分析的车牌定位方法。
A new license plate location method, which is based on color segmentation, license plate shape analysis and mathematic morphology operation, is presented.
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 segmentation part, character segmentation part, character recognition part and result processing part etc.
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.
本论文的研究内容包括汽车牌照的定位、字符分割和字符识别三个部分。
The whole process of the system can be divided into three stages: locate license plate, character segmentation 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.
提出一种基于小波分解和亮度矩的复杂背景下，图像中车牌定位和分割的方法。
This paper presents an effective license plate location algorithm, which employs wavelet transformation and intensity moment to extract number plate from the complex-background images.
汽车牌照定位是一个较难解决的图像分割问题，神经网络为此问题的解决提供了一个有力工具。
Automatic location of vehicle license plates is a difficult image segmentation problem. Neural network is a powerful tool for solving the problem.
车牌识别是本文的主要研究内容，其中包括图像采集、车牌定位、字符分割、字符识别四个部分。
Number Plate Recognition is mainly studied in this paper, which includes Image Acquisition, Number Plate Location, Character Segmentation and Character Recognition.
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.
车牌识别算法一般可以分为车牌定位、牌照上字符的分割和字符识别三个主要组成部分。
License plate recognition algorithm consists of three modules in general, those are: license plate location, character segmentation and character recognition.
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.
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.
针对车牌图像分割困难、车牌位置定位不准确等问题，提出了一种新的车牌快速定位方法。
Aimed at the difficulty of license plate location, this paper presents an effective license plate location algorithm based on HSV color model.
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.
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