车牌字符识别算法的研究。
Researching the characters recognition algorithm of license plate.
在车牌字符识别中引入了误识模型和多分类器集成技术。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
在车牌字符识别阶段，我们提出了一种基于形状上下文的模板匹配方法。
In the stage of license plate character recognition, we propose a template matching method based on Shape Contexts.
所提出的特征选择算法不仅提高了车牌字符识别率，而且识别结果十分稳定。
What's more the experimental results indicate that the vehicle character recognition rates are improved significantly and the classification results are very robust using the proposed method.
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.
在字符识别部分，提出了在无特征提取情况下基于支持向量机的车牌字符识别方法。
A local projection method is used to segment character. At Last, a License Plate Recognition method based support vector machines is proposed.
对比实验表明，在车牌字符识别方面，基于代数算法的神经网络优于传统的BP神经网络。
Comparative experiments show neural networks based on algebraic algorithm are better than traditional BP neural networks in character recognition.
实验证明，用该算法实现的车牌字符识别系统识别率高，误识率低，可直接用于实际的牌照自动识别系统。
The experiment proves that the LPR system based on this algorithm shows a higher recognition rate and lower error recognition rate, and can find a direct application in practical LPR system.
用主量分析(PCA)方法进行特征抽取，RS方法对特征信息进行预处理，约简后的特征作为网络输入，构成车牌字符识别网络。
Feature information is gathered with PCA, and it is preprocessed with RS way. Reduced feature is used as input of neural network, recognition network is composed with it.
汽车牌照识别系统包括车牌图像的采集、预处理、字符的提取和字符识别。
License plate recognition System includes the license plate images acquisition, preprocessing, character recognition and extraction of characters.
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.
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.
综合这些算法并结合字符识别核心，实现了一个完整的车牌照自动识别系统。
Using these algorithms and a character recognition kernel, an automatic vehicle license recognition system was finished.
由于受光照条件、牌照自身清洁程度等因素影响，车牌识别系统往往达不到满意的字符识别率。
A satisfactory recognition rate can not be obtained sometimes because of some factors affected by light conditions and plate's cleanness in vehicle recognition systems.
牌照字符识别是车牌识别系统中关键的一步，而字符识别的关键在于有效特征的选取。
License plate character recognition is a main step in license plate recognition system, but its emphasis is to choose efficient features.
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.
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.
为了提高车牌上的字符识别准确率，提出一种结合支撑矢量机(SVM)和小波的字符识别方法。
To improve the recognition accuracy of the characters on car license plate, a novel method based on support vector machine (SVM) and wavelet decomposition was proposed.
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.
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.
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。
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.
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.
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.
本课题是汽车牌照自动识别系统的一部分，建立了一个完全由软件来实现的汽车牌照字符识别系统。
This topic is a part of license plate recognition system, has established one completely the license plate character recognition system which realizes by the software.
同时本文中也对车牌识别系统中的字符识别部分进行了一些研究工作。
At the same time, this paper has also researched characters recognition of this system.
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.
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.
在国内外学者已对车牌区域的定位问题进行了众多研究的基础上，运用分形理论对车牌矩形区域内的字符识别问题进行了深入研究；
Based on the full researches on the location of license plate, authors propose a new fractal method to recognize characters of license plate.
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