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Description: 基于图象理解的汽车牌照自动识别系统是智能交通系统（ITS）的一个重要分支，有着非常广泛的应用前景，而车牌定位是车辆牌照识别系统中的关键技术之一，车牌定位结果的好坏直接影响着该系统的识别精度。-understanding of image-based automatic vehicle identification system license is the Intelligent Transportation System (ITS) of an important branch , has a very broad application prospects and positioning, vehicle license plate recognition system license one of the key technologies. positioning plates results will have a direct impact on the system's recognition accuracy.
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Size: 2716038 |
Author: 宁阳洋 |
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Description: 一个智能车辆牌照定位系统，对于智能交通识别来说，车牌定位识别系统至关重要，该代码是其中的定位部分。
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Size: 749685 |
Author: chendeming |
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Description: 车牌识别(LRP)是智能交通系统中关键技术之一。以车牌识别为
基础，可以对车辆进行自动登记、验证、监视、报警，进而可以应用
在多种场合，如高速公路收费系统 道路、卡口监控系统 小区、停
车场收费 监控系统和车流统计等。在本文的研究中以模式识别和图
像处理技术为基础和基本手段，结合新兴领域的理论工具一一小波分
析，分别对车牌分割、车牌图像去噪和车牌字符识别三个方面做了系
统研究，并提出了有效的解决方法。
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Size: 12358653 |
Author: cy |
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Description: VC++的智能车牌识别系统源代码
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Size: 2729063 |
Author: houniao |
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Description: 智能车牌识别软件，具有自学习功能，能通过学习不断提高识别效率。
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Size: 2343440 |
Author: zhoumi100@gmail.com |
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Description: 基于图象理解的汽车牌照自动识别系统是智能交通系统（ITS）的一个重要分支，有着非常广泛的应用前景，而车牌定位是车辆牌照识别系统中的关键技术之一，车牌定位结果的好坏直接影响着该系统的识别精度。-understanding of image-based automatic vehicle identification system license is the Intelligent Transportation System (ITS) of an important branch , has a very broad application prospects and positioning, vehicle license plate recognition system license one of the key technologies. positioning plates results will have a direct impact on the system's recognition accuracy.
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Size: 4088832 |
Author: 宁阳洋 |
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Description: 汽车牌照智能识别C++源程序代码，包括字符分割，图像预处理，字符识别。-vehicle license Intelligent Recognition C source code, including character segmentation, image preprocessing, character recognition.
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Size: 230400 |
Author: 王瑾 |
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Description: 一个智能车辆牌照定位系统，对于智能交通识别来说，车牌定位识别系统至关重要，该代码是其中的定位部分。-An intelligent vehicle license positioning system, for intelligent traffic identification, the license plate recognition system is crucial location, the code is one of the positioning part.
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Size: 2818048 |
Author: chendeming |
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Description: 车牌识别(LRP)是智能交通系统中关键技术之一。以车牌识别为
基础，可以对车辆进行自动登记、验证、监视、报警，进而可以应用
在多种场合，如高速公路收费系统 道路、卡口监控系统 小区、停
车场收费 监控系统和车流统计等。在本文的研究中以模式识别和图
像处理技术为基础和基本手段，结合新兴领域的理论工具一一小波分
析，分别对车牌分割、车牌图像去噪和车牌字符识别三个方面做了系
统研究，并提出了有效的解决方法。
-License Plate Recognition (LRP) is the intelligent transportation system one of the key technologies. To vehicle license plate recognition based on the vehicles can be automatically registered, verification, monitoring, alarm, and thus can be applied on many occasions, such as highway toll collection system of roads, district monitoring system Bayonet, parking charges and traffic monitoring system statistics. In this study in order to pattern recognition and image processing technology as the foundation and basic tools, combined with the emerging field of the theory of wavelet analysis tools 11, respectively, on the license plate segmentation, image denoising and license plate license plate character recognition three have done a systematic research and to propose an effective solution.
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Author: cy |
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Description: 基于视频图像的运动车辆识别系统主要是由汽车牌照识别和汽车类型识
别两大核心技术构成，它在智能交通领域中有着广泛的应用，同时也是计算机
视觉、图像处理和模式识别等交叉学科研究的热门课题，因此对相关技术的研
究正受到普遍关注。本文正是在这一背景下，对运动车辆识别技术进行了系统
的研究。在车牌识别技术中，本文着重对车牌定位和车牌字符识别等关键技术
所涉及的难点进行了深入的研究。在车型识别技术中，与当前国内外学者侧重
于研究车辆外形、大小的识别不同，本文主要侧重对汽车标志的定位和识别进
行研究。本文提出了解决以上技术中相应问题的理论方法，并在实验中验证了
其有效性，同时这些研究内容对于解决一般的目标识别系统中普遍存在的光
照、噪声、尺度、形状相似、部分遮挡等情况的识别问题有着更为深远的理论
意义。-Recognition system of moving vehicle based on video images mainly consists
of two key technologies:recognition of vehicle_license_plate(VLP)and
recognition of vehicle type.It not only finds wide application in ITS,but also is a
hot point of research in computer vision,image processing and pattern recognition.
So its related technology is attended prevalently.On the above background,we
made a deep and systematic research for recognition of moving vehicle.In
recognition of VLP,the problems of VLP location and VLP character recognition
are studied in this dissertation.In recognition of vehicle type,differing with other
researchers who attend to the recognition of shape,size of vehicle,we pay attention
to the location and recognition of vehiclelogo.The methods to deal with above
problems are proposed in the dissertation and testified in the experiment.At the
same time,our researches have academic significance in object recognition which is
subject to illumination,noise,size,sla
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Author: 陈忠厚 |
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Description: 国内近几年城市智能交通系统发展的很快，车牌识别系统作为
城市智能交通系统中信息采集的一种手段，也得到了很快的发展。
本文在详细研究了国内外的各种有代表性的车牌识别系统的基础上，结合
中国车牌的特点研发了一种适合中国车牌的识别系统。该技术于2004年荣获得
了公安部科技进步二等奖。
本文对车牌识别技术的研究，主要的创新有四个方面：
1基于小波分析的方法,成功地解决了车牌定位系统中传统的图像识别手段
很难解决的三个问题；
2本文对图像获取的摄像系统自适应控制技术进行了研究，创造性的提出了
行驶车辆图像获取的摄像机自适应控制系统(Acquring Image Adaptive Control
System,AIACS),很好的解决了车牌识别系统的全天候的问题；
3本文将车牌识别技术应用于车辆测速系统，在完成车牌识别的同时,解决
了测速问题,该技术目前处于国内领先水平,将车牌识别用于测速系统在国内是
首创；
4本文还对车牌识别的定位、切分、识别进行了详细的研究，并分别提出了
几种实用的新算法。-ITS(intelligent transportation systems)is progressing rapidly in
recent years in China.At the same time,as the information collection
method for ITS,the vehicle plate recognition technology has also
developed very fast.
Based on the detail analysis for the typical vehicle plate
recognition systems(VPRS),the peculiar VPRS presented suitable used in
China,concerning the charactristics of Chinese vehicle plate.The
technology of vehicle plate recognition has won the Second Prize of
Science and Technology Advancement of the Ministry of Public Security
of P.R.China.
The research presented here for VPRS is characteristic of the four
creation points showing bellow:
First,the problems which are of troubles really in the traditional
image treatment technology have been successful solved in use of wavelet
analysis.
Second,the Acquring Image Adaptive Control System(AIACS)has been
presented creatively to be adaptive in all weather conditions.Third,the vehicle plate recognition techn
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Size: 10698752 |
Author: 陈忠厚 |
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Description: 智能交通中的车牌识别程序，主要是关于车牌定位和识别的-the code about license plate location and recognition
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Size: 2117632 |
Author: cyc |
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Description: 利用神经网络智能识别技术，识别车牌号吗，效果明显-Neural network intelligent recognition technology to identify license plate number you, obvious effect
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Size: 63488 |
Author: zhaoziyang |
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Description: 车牌识别是我国实现智能交通的重要课题，车牌汉字识别是实现车牌识别的难点。进行车牌汉字识别前的车牌定位与分分、灰度归一化和尺度归一化等预处理工作，提取特征，运用模式识别算法实现车牌汉字识别，并给出实验结果。-Our license plate recognition is an important subject intelligent transportation, license plate character recognition is the difficulty to achieve recognition. License plate character recognition license plate location before the minutes with the experimental results, the gray-scale normalization and normalization and other preprocessing, feature extraction, pattern recognition algorithm using license plate character recognition is also given.
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Author: 陈星 |
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Description: DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者：陆振波
电子邮件：luzhenbo2@qq.com
个人博客: http://blog.sina.com.cn/luzhenbo2
毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士
精通方向：数据挖掘，数字信号(图像、视频)处理，人工智能与模式识别，群体智能优化，非线性与混沌，支持向量机，Matlab与VC++混编
擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，模式识别，机器学习，智能视觉，神经网络，人脸检测，行人检测，车牌识别，机器视觉，特征提取，支持向量机，无人驾驶，自动驾驶，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据
-DeepLearnToolbox CNN lzbV2.0
Deep Learning, convolution neural network, Matlab toolbox
reference:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
Author: Lu Zhenbo
E-mail: luzhenbo2@qq.com
Personal blog: http://blog.sina.com.cn/luzhenbo2
Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr.
Proficient direction: data mining, digital signal (image, video) processing, artificial intelligence and pattern recognition, swarm intelligence optimization, nonlinear and chaotic, support vector machines, Matlab and VC++ mixed
Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, pattern recognition, machine learning, intelligent vision, neural networks, face detection, pedestrian detection, lice
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Author: 陆振波 |
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Description: CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者：陆振波
电子邮件：luzhenbo2@qq.com
个人博客: http://blog.sina.com.cn/luzhenbo2
毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士
精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，Matlab与VC++混编
擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行人检测，车牌识别，特征提取，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，大数据
- CNN- the main program
reference:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
Author: Lu Zhenbo
E-mail: luzhenbo2@qq.com
Personal blog: http://blog.sina.com.cn/luzhenbo2
Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr.
Proficient direction: signal processing, image processing, artificial intelligence, pattern recognition, support vector machines, deep learning, machine learning, machine vision, swarm intelligence, Matlab and VC++ mixed
Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, intelligent vision, convolution neural network, face detection, pedestrian detection, license plate recognition, feature extraction, smart glasses, driver assistance, ADAS, AdaBoost, LBP, H
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Author: 陆振波 |
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Description: 载入数字车牌，智能识别，检测返回识别的数字，此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。
“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。采用神经网络进行训练识别，识别率达到90 -Loading digital license plate, identification, detection returns the identification number, is also possible to open a separate image for image preprocessing step by step, but be careful, every step can only be d once, and according to the order execution. " 256-color bitmap into grayscale" - " grayscale binary" - " de-noising" - " inclination correction" - " Split" - " standard size" - " austerity rearrangement." Neural network trained to recognize, recognition rate of 90
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Author: 李红贤 |
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Description: 车辆自动识别(AVI)是智能交通系统中的一项重要技术。汽车牌照识别是实现车辆自动识别的一种重要的技术手段。而从包含汽车牌照的图像中准确、快速地分割出牌照区域是实现车牌自动识别的一个关键步骤。
本文主要研究了汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。
-the Vehicle automatic identification (AVI) is the intelligent transportation system is an important technology. Car licence plate recognition is to realize the automatic recognition of vehicle is a kind of important technical means. And the car licence contains accurately and rapidly in image segment the licence area is realizing automatic license plate recognition is a key step.
This paper mainly studies the car license plate location in the licence plate recognition. License plate localization is divided into two steps of vehicle license plate, first to early, early after positioning the license plate location binary image, geometric correction, then accurate positioning license plate area. Meanwhile, in matlab simulation the car licence plate recognition, the simulation results show that the algorithm can very good recognition car licence.
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Size: 1566720 |
Author: wfyan |
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Description: 车牌识别包含文本库，还有几个小李子，自己学习用(lpr
The license plate recognition and license plate recognition contains a text library, and several small plums are used to study the license plate.)
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Size: 12856320 |
Author: 住在这 |
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Description: 车牌自动识别系统也是智能交通系统的重要组成部分。它能将输入的汽车图像通过车牌定位、车牌字符分割和车牌字符识别等一系列步骤，输出为几个字节大小的车牌字符串，无论在存储空间占用上还是在于管理数据库相连等方面都有着无可比拟的优越性。在大型停车场、高速公路、交通部门的违章检测以及桥梁的收费站管理等场合，都有着广泛的应用前景。车牌识别系统的成功开发将大大加速智能交通系统的发展进程。(The license plate recognition system is also an important part of the intelligent transportation system. It can output the input car image through a series of steps, such as license plate location, license plate character segmentation and license plate character recognition. It can be output into a few byte size license plate string. It has unparalleled superiority in both storage space and management database. It has wide application prospects in large parking lots, expressway, traffic department's violation detection and Bridge toll station management. The successful development of the license plate recognition system will greatly accelerate the development process of the intelligent transportation system.)
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Author: 123332211 |
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