Number Plate location: a location scheme based on the texture features of characters is proposed.
车牌定位部分提出了一种基于字符垂直边缘纹理特征的车牌定位法。
In this paper, a new method of license plate location and extraction based on edge and SVM is presented.
提出了一种将边缘与SVM相结合的车牌定位与提取的方法。
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。
Generally, LPR system mainly comprises modules of plate location, character isolate 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。
Secondly, it extracts a key frame from the video image sequence and makes a license plate location on the frame.
其次，提取视频图像序列中的关键帧，对关键帧图像进行车牌的定位处理。
Concerning the license plate location problem, a location method based on Mathematical Morphology is brought up.
针对车牌定位问题，提出了一种基于数学形态学的定位方法。
Based on these work, a new plate location method using plate's texture, shape, color characteristics was proposed.
在此基础上，提出了一种利用牌照的纹理、颜色及体态等综合特征进行牌照定位的新方法。
This paper proposed a new license plate location algorithm, which based on scene classification and gray level jump.
提出一种基于场景分类及灰度跳变的车牌定位算法。
In the paper, a new method of license plate location Witch based on color and the general characteristics was proposed.
该文提出一种基于颜色与纹理综合特征的车牌定位新方法。
License plate location and character are the difficulties dealt in the identification license plate recognition technology.
历来车牌的定位和字符的识别都是车牌识别技术中比较难解决的问题。
Actually, license plate location technology is the specific technology to locate the license plate area in the image of vehicles.
车牌定位其实就是在车辆图像中定位车牌牌照区域的技术。
A license plate location algorithm was presented, which was based on the quaternion specific color-pair edge detection technique.
提出了一种基于四元数特定颜色对边缘检测的车牌定位算法。
An algorithm based on mathematic morphology and fuzzy evaluation functions is put forward used for license plate location on line.
提出一种基于数学形态学和模糊评价函数的实时车牌定位算法。
At the license plate location phase, we propose a new rough localization method which based on connected area horizontal clustering.
在车牌定位阶段，本文提出了基于连通区域水平聚类的车牌粗定位方法。
In the part of plate location and segmentation, we designed and implemented a method through edge detection and plate region search.
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。
This paper has studied a lot of method and theory about vehicle plate location, character divide and character recognition systemically.
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。
In the aspect of vehicle plate location, author adopt the algorithm of the frequency of gray scale alternate to seek approximately location.
在车牌定位方面，本文采用了灰度跳变频率算法进行粗定位。
In this paper, the key technologies of license plate location and type recognition are discussed and a lot of useful experiments are showed.
本文对车牌检测和汽车类型识别相关技术进行了详细的研究，并进行了大量的相关实验。
Aimed at the difficulty of license plate location, this paper presents an effective license plate location algorithm based on HSV color model.
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。
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。
Character extraction is to get the characters from the plate after the plate location, and then send them to character recognition system to recognize.
字符分割是在牌照定位后把字符从牌照中分割出来的过程，然后送到字符识别系统识别。
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。
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。
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。
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。
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。
This paper presents an effective license plate location algorithm, which employs color and texture analysis to extract the number plate from the complicated background image.
针对复杂背景的车牌定位问题，提出了一种颜色和纹理分析相结合的车牌定位算法。
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。
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.
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 license plate location algorithm based on the combination of edge detection and projection is put forward by means of the geometric and texture information of the license plate area.
为了提高车牌定位的实时性和有效性，利用车牌的几何特征和纹理特征，提出了基于边缘检测和投影法相结合的车牌定位算法。
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