车牌分割是汽车牌照自动识别的基础。
The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.
实验结果表明本系统能较好的实现运动检测和车牌分割。
Experimental results show that the system realizes automatic movement detection and vehicle card segmentation.
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。
License plate recognition is widely used in ITS. License plate segmentation is the important part of License plate recognition.
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.
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。
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.
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。
Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.
针对汽车牌照与车身背景的分割问题，提出一种基于横向方差和数学形态学的图像分割方法。
To segment a vehicle license card from the image background of the whole vehicle, a image segmentation algorithm basing on cross variance and Mathematical morphology is presented.
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.
车牌字符分割算法的研究。
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。
A kind of segmentation method of vehicle license plate characters based on neural networks and color feature is presented in this paper.
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.
车牌图像定位与分割。
文章介绍了车牌图像的二值化和字符分割算法。
This article introduces the algorithm of bicycle images binary and segmentation of characters.
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.
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。
The article aims at the characteristics of license plate images, and puts forward a new approach to license plate preprocessing by character segmentation.
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 segmentation part, character segmentation part, character recognition part and result processing part etc.
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.
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。
A new algorithm for license plate character segmentation based on differencing projection and preferably segmented characters is proposed.
为解决车牌图像倾斜对字符分割与识别带来的不利影响，提出一种基于字符投影的车牌图像错切校正方法。
A method to remedy the negative effect arising from slant vehicle license plate's character segmentation and recognition based on character projection 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 license plate location method, which is based on color segmentation, license plate shape analysis and mathematic morphology operation, is presented.
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。
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.
为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响，提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
The authors present a new method to remedy the negative effect arising from slant vehicle license plates character segmentation and recognition based on principal component analysis (PCA).
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.
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.
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.
该文提出一种基于数学形态学的车牌图像分割算法。
In this paper, a algorithm of license plate segmentation based on mathematical morphology is proposed.
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.
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