其主要实例为车牌识别和车型识别方面。
The main examples are in License Plate Recognition and Vehicle Type Recognition facts.
车牌识别的难点在于倾斜校正和模糊识别。
The difficulty in the License Plate recognition is skew emendation, and blur recognition.
车牌的分割是车牌识别中比较重要的环节。
车牌识别是智能交通系统中的一个重要环节。
Vehicle License-Plate Recognition is an important tache in Intelligence Transportation System.
南加大现有超过190个安全或车牌识别摄像头。
USC now has more than 190 video or license plate recognition cameras.
车牌倾斜检测与校正是车牌识别的关键技术之一。
The detection and correction of oblique license plate is one of the key technologies in automatic license plate recognition.
在此基础上，实现了一个汽车车牌识别应用系统。
On the basis of these methods, an application of car label recognition system is realized.
车牌倾斜检测与校正是车牌识别的关键技术之一。
Vehicle license plate tilt correction approach based on K-L expansion;
倾斜车牌图像的校正是车牌识别中的重要环节之一。
Image skew correction is one of the key technologies in 1icense plate recognition.
车牌识别中的预处理包括图像增强，二值化和噪声去除。
The preprocessing algorithm for License Plate Recognition(LPR) includes image enhancement, binary conversion and noise reduction.
本文选择支持向量机作为研究的方法，解决车牌识别中的问题。
In the article, SVM is considered as the research method and is used to solve some difficult problems in LPR system.
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。
License plate location and character are the difficulties dealt in the identification license plate recognition technology.
它是集运动车辆视频检测、车牌识别等技术于一体的智能化车辆检测系统。
It is an intelligent system that include many techniques, such as video vehicle detection, license plate recognition.
该系统使用车牌识别技术，采集经过监测点车辆的信息，如车牌、出现时间。
The system used license plate recognition technique to gather car information, such as license plate and the time it appeared.
在复杂背景下，实现汽车牌照的快速定位是目前车牌识别领域亟待解决的问题。
Under complex background, a problem need to be solved urgently is to realize fast license plate locating.
最后基于上述算法编制出车牌识别软件，使用实际车牌图片对软件进行了测试。
At last, the author develops a license plate Recognition Software based on these algorisms, and USES various actual license plate images to testing.
随着我国汽车数量的迅速增加，车牌识别技术呈现出巨大的经济价值和现实意义。
Along with the quick increase of the automobile quantity of our country, vehicle plate recognition technology presents huge economic value and realistic meaning.
车牌识别定位程序的部分功能，包括数据分析、绘图等等，自写曲率计算函数 。
Part of the license plate recognition locator feature, Data analysis, plotting, etc. , Since writing the curvature calculation function.
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.
车牌识别程序源码，很有用的！我也是从网上下载下来的，不过我自已做了些修改！
Car license recognizer source code, very useful! I also am from on-line download, but I from have made a revision!
现在用户可以享有车牌识别的保险台直观客户端程序，和安全中心的企业级功能。
Now LPR users can access the Security Desk intuitive client application, as well as Security Center's enterprise-level features.
其中相似字符的识别是车牌识别的关键技术之一，也是提高车牌识别率的重要途径。
The recognition of the similar character is one of the critical techniques, an important means of improving the rate of the recognition of license plate.
本发明提供了一种内置式宽角度LED补光灯，涉及智能交通系统中车牌识别技术领域。
The invention provides a built-in wide-angle LED light-compensating lamp which relates to the technical field of license plate recognition in an intelligent traffic system.
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。
License plate recognition algorithm consists of three modules in general, those are: license plate location, character segmentation and character recognition.
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.
车牌识别问题作为现代交通工程领域中研究的重点和热点问题之一，受到越来越多人们的关注。
As one of the focal points and hot problems of studying in the field of modern traffic engineering, the license plate recognition (LPR) has attracted more and more attention.
实现典型相关分析，车牌识别定位程序的部分功能，非归零型差分相位调制信号建模与仿真分析。
Achieve canonical correlation analysis, Part of the license plate recognition locator feature, NRZ type differential phase modulation signal modeling and simulation analysis.
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.
并对该系统进行代码优化、存储器优化等，使得DSP车牌识别软件运行效率更高、识别速度更快。
And the system code optimization, memory optimization, makes the LPR system based on DSP chip to run more efficient and faster recognition speed.
文章结合实例，阐述了运用OLAP技术对基于车牌识别的交通流数据进行结构分析的方法及应用展望。
This thesis illustrates examples of the methods on structure analysis of traffic flow data based on Vehicle License Plate Recognization with OLAP technology and its application prospect.
应用推荐