In this paper, a algorithm of license plate segmentation based on mathematical morphology is proposed.
该文提出一种基于数学形态学的车牌图像分割算法。
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。
License plate recognition is widely used in ITS. License plate segmentation is the important part of License plate recognition.
智能运输系统中车牌识别技术得到了广泛应用，车牌分割是车牌识别的重要部分。
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.
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 recognition of automobile license plates is the core of intelligent traffic information management system, and the key of recognition is the license plate segmentation from the complex image.
汽车牌照识别是智能交通信息管理系统的核心，从复杂的图像中分割出车牌又是牌照识别的关键。
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。
The whole process of the system can be divided into three stages: locate license plate, 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。
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.
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。
A new license plate location method, which is based on color segmentation, license plate shape analysis and mathematic morphology operation, is presented.
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 algorithm for license plate character segmentation based on differencing projection and preferably segmented characters is proposed.
针对车牌字符分割提出一种基于差分投影与优割字符的车牌字符分割算法。
The article aims at the characteristics of license plate images, and puts forward a new approach to license plate preprocessing by character segmentation.
本文针对车牌图像的特点提出了一种针对字符分割的车牌图像预处理方法。
License plate recognition includes four steps, that is, license plate orientation, license plate lean revise, character segmentation and character recognition. It introduces the above four steps.
通过车牌定位、车牌倾斜校正、字符切分和字符识别四个步骤完成了汽车牌照的识别，介绍了每一步骤的关键技术和实验结果。
The thesis aims at researching the following two aspects in the License Plate Recognition System: license plate location and character segmentation.
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。
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。
The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.
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。
According to the areas of the license plates, complete a single character segmentation using the vertical projection that combined with prior knowledge of the license plate character segmentation.
根据分割出的车牌区域，采用一种垂直投影结合先验知识的车牌字符分割法，完成单个字符的分割。
The LPR algorithm consists of three steps: license plate locating, character segmentation 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。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
车牌定位；字符分割；特征提取；字符识别；神经网络。
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。
License plate recognition system is consisted by three parts: 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 algorithm consists of three modules in general, those are: license plate location, character segmentation and character recognition.
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。
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。
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。
Researching the segmentation algorithm of license plate.
车牌字符分割算法的研究。
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。
License plate Recognition system includes three parts: plate pretreatment and positioning, character segmentation and identification of a single character.
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。
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。
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。
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。
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