车牌检测是车牌识别系统的关键技术之一。
License Plate Detection is one of the key technologies in LPR systems.
本文提出了一种基于灰度图像的车牌识别系统。
This paper presents a method of license plate recognition using gray images.
本文的车牌识别系统是模式识别领域的一个典型应用。
The plate recognition system in this thesis is a typical application in the area ofpattern recognition.
这是我自己写的车牌识别系统的小程序，希望对大家有帮助。
That I write the license plate recognition system small program, and I hope to be helpful.
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.
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.
用户可以将监控、报告、数据挖掘三项功能集中安装在固定的车牌识别系统中。
Users can centralize monitoring, reporting, and data mining for all their fixed LPR installations.
因此，进行基于粗糙集理论的车牌识别系统的研究具有一定的理论意义和实践价值。
So the research on VLP recognition system based on rough set is very meaningful and practical.
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.
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.
智能交通系统在这种背景下应运而生，而智能交通系统的关键技术便是车牌识别系统。
Intelligent Transportation system emerges in this condition, and the key technology of this system is License Plate Recognition system (LPRS).
车牌定位是自动车牌识别的难点，其定位的时间和精度直接影响整个车牌识别系统的性能。
License locating is the difficulty of the license plate automatic recognition. The locating time and accuracy directly impact the license plate system's recognition performance.
车牌识别系统和公路计量收费系统中违章现象的检测就是智能交通系统中的两个重要应用。
License Plate Recognition system and the detection of the illegal tax evasion in highway Toll Collection system are two important applications in intelligent transportation system.
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.
基于视频图像的车牌识别系统，要求能够将运动中的汽车牌照从复杂背景中提取并识别出来。
The objective of automatic vehicle number plate recognition system is to accurately extract and recognize the vehicle number plate from the complicated background.
实验结果表明，该改进算法实现效率高、细化效果好、大大提高了车牌识别系统的整体性能。
The experiment shows that the improved algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
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.
实验证明通过对车牌定位的并行实现，提高程序处理效率，进而提升了车牌识别系统的实时性。
The results show that because of positioning license plate in parallel, it improved the procedure efficiency, and improved the real-time ability of the license plate recognition system finally.
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.
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.
当字符图像受到噪声污染，甚至发生缺损、污染时，会增加车牌识别系统(LPR)准确识别的难度。
The recognition of license plate recognition (LPR) will be more difficult when plate license character image is stained or fractured.
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.
此外，对于改进的车牌识别系统，已经完成了部分原理图和PCB图设计，软件部分设计也在进一步探讨和调试中。
We complete some of design of schematic and PCB of new LPRS. The system's software design and debugging are also exploring further.
测试结果证明本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性的要求，具有一定的应用价值。
The Test results prove that this algorithm is simple, fast, high accuracy, it meets real-time performance, versatility, and accuracy requirements, and it has a certain value.
详细说明：这是利用VC++ 6.0开发的汽车车牌识别系统，其基本原理是采用了基于车牌颜色对的最新的车牌识别技术。
This is the VC 6.0 automobile license plate recognition system Its basic tenets are based on the use of color plates on the latest technology to identify the license plate.
路面上的车牌因天气、光照的不同而呈现出不同的特点，且路面上的车牌具有脏、旧等特点，这些都加大了车牌识别系统算法的难度。
The license plates on roadway have different characteristics as the weather, illumination change, and they are dirty and old, all of this increase the difficulty of the system algorithm.
分析和提出了一套摄像头标定方案，使汽车车牌识别系统能在自然环境下获取清晰的图像，提高了汽车车牌识别系统随机捕获完整汽车图像的鲁棒性能。
A set of camera demarcation scheme was brought forward to capture the clear image in nature circumstance and improve the robust character of capturing full vehicle image in random for VNPRS.
分析和提出了一套摄像头标定方案，使汽车车牌识别系统能在自然环境下获取清晰的图像，提高了汽车车牌识别系统随机捕获完整汽车图像的鲁棒性能。
A set of camera demarcation scheme was brought forward to capture the clear image in nature circumstance and improve the robust character of capturing full vehicle image in random for VNPRS.
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