Description: 用于汽车牌照的定位与识别，本系统数据库平台采用windows2000,加上MS SQL Server2000,应用程序平台完全采用VC++开发，运用了动态链接库技术，数据库技术，图象处理技术和网络通信技术。
本系统的实现步骤:
1.收费单元.
2.牌照识别单元,流程如下:车辆图象采集，牌照区域提取，牌照字符切分，牌照字符识别。
3.数据通信单元.-Used car license, location and recognition, the system database platform windows2000, together with MS SQL Server2000, application platform completely VC++ Development, the use of a dynamic link library technology, database technology, image processing technology and network communications technology. The system to achieve these steps: 1. Charging unit .2. License plate recognition unit, flow is as follows: the vehicle image acquisition, license regional extraction, character segmentation of license, license character recognition. 3. Data communications unit. Platform: |
Size: 283648 |
Author:新建 |
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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. Platform: |
Size: 12358656 |
Author:cy |
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Description: 本文运用MATLAB对车辆牌照识别中的牌照定位、字符分割技术加以讨论。通过对一定数量的图像进行处理，表明MATLAB在这方面的运用是非常有效和成功的。-In this paper, the use of MATLAB on the vehicle license plate recognition in positioning, character segmentation techniques to be discussed. Through the deal with a certain number of images that MATLAB application in this regard is very effective and successful. Platform: |
Size: 286720 |
Author:星星 |
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Description: 车辆牌照识别技术是公安执法系统、高速公路自动收费系统、城市道路监控系统等诸多智能交通应
用管理系统中的重要一环。它可应用于交通流量检测，交通控制与诱导.不停车自动收费及违章车辆监
控等领域，具有广阔的前景。而车牌的定位分割，及车牌分割后的字符分割则是车辆牌照识别技术中十
分重要的组成部分，本文对乍牌及其字符分割的方法进行了相关的探讨和研究。
-Vehicle license plate recognition technology is the law enforcement system, automatic highway toll collection system, urban road monitoring system, and application of intelligent traffic management system for an important element. It can be applied to traffic detection, traffic control and induced. Do not stop automatically charges and regulations in areas such as vehicle monitoring, will have broad prospects. The positioning of partition plates, and after the partition plate character segmentation is the vehicle license plate recognition technology in a very important component of the paper Platform: |
Size: 184320 |
Author:galilio |
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Description: 文章从车牌定位、 车牌字符分割和车牌字符识别 3个阶段对车牌识别技术进行了深入研究，并用MATLAB进行了仿真。 -Article from the license plate location, vehicle license plate character segmentation and character recognition of the three stages of License Plate Recognition technology for in-depth studies and simulation using MATLAB. Platform: |
Size: 62464 |
Author:viwin |
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Description: 实现了对车牌识别系统中的图像预处理、车牌定位、字符分割和字符识别等环节涉及到的技术、算法以及系统整体设计作了全面的论述，并与已有方案进行了比较，对部分关键算法进行了设计和改进。-License plate recognition system to achieve the right of the image pre-processing, vehicle license plate location, character segmentation and character recognition and other aspects related to technology, algorithms and overall design of the system gave a comprehensive exposition, and compared with existing programs, to Some of the key algorithm design and improvement. Platform: |
Size: 4155392 |
Author:李坤 |
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Description: 本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recognition Neural Network. The
algorithm was tested with 2820 natural scene gray level vehicle
images of different backgrounds and ambient illumination.
The camera focused on the plate, while the angle of view and
the distance from the vehicle varied according to the
experimental setup. The license plates properly segmented
were 2719 over 2820 input images (96.4 ). The Optical
Character Recognition (OCR) system is a two layer
Probabilistic Neural Network with topology 108-180-36, whose
performance reached 97.4 . The PNN was trained to identify
multi-font alphanumeric characters from car license plates
based on data obtained from algorithmic image processing. Platform: |
Size: 831488 |
Author:keithe |
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Description: 复杂背景下车牌定位与字符分割算法研究
本文在简要介绍国内外车牌识别技术研究现状的基础上，对车牌定位算法及字符分
割算法进行了深入的研究，主要完成以下工作：
车牌的定位算法设计阶段，本文提出了一种综合利用车牌多重特征的定位算法。该
算法充分利用了车牌的纹理，色彩及车牌长宽比等特征。经过水平梯度化，二值化，滤
波，区域连通、连通域标记筛选，色彩匹配等几个步骤，最终达到了复杂背景下汽车牌
照的定位。-Complex background license plate location and character segmentation algorithm of this paper, a brief introduction to license plate recognition technology at home and abroad on the basis of the status quo, on the license plate location and character segmentation algorithm is conducted in-depth study was completed for the following: license plates location algorithm design stage, this paper, a comprehensive utilization of multiple characteristics of license plate location algorithm. The algorithm makes full use of the license plate texture, color and license plate aspect ratio and other features. After level gradient, binarization, filtering, regional connectivity, connected component labeling filter, color matching, and several steps, ultimately achieving the complex background Locating the vehicle license. Platform: |
Size: 1760256 |
Author:zhangchunli |
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Description: 车牌识别系统一般包括车牌定位、车牌切分、字符识别三部分，而车牌定位是车牌识别系统的基础和前提，其准确与否直接影响着车牌识别的准确率。本文针对这一关键问题进行了研究，提取了车牌的颜色特征并结合其纹理特征、几何特征以及投影特征进行准确定位。采用HSV颜色模型，利用颜色空间距离相似度计算分割颜色；针对颜色分割后的图像，车牌区域内水平方向上具有的连续跳变的特征，采用行扫描法确定车牌的上下边界；车牌区域内垂直方向具有投影特征，采用垂直投影法确定车牌的左右边界；最后根据车牌的宽高比判断是否是真实的车牌域。实验结果表明该方法效果较好、精度较高。-License plate recognition system generally includes license plate location, license plate segmentation and character recognition. And vehicle license plate location is a key stage of license plate recognition system, whose accuracy directly affects license plate recognition system’s performance. This paper studied the key issue, which mainly used color feature combining the texture feature, geometric feature to obtain accurately positioning. The HSV color space and similarity calculation was used to segmented image. Because the vehicle license plate have this property of consecutive beeps in horizontal direction, and line scanning method was used to determine the top and the bottom boundary of vehicle license plate. And also the vertical projection was used to determine the left and right boundary of the vehicle license plate because of its projection property in vertical direction. Finally, according to the HVR to judge whether the area is true. Experimental results showed that the al Platform: |
Size: 25062400 |
Author:张志斌 |
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Description: 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数字字符串,并以文本的形式输出。-This treatment method is to enter the vehicle image preprocessing, the use of license plate location, character segmentation, character recognition to extract license plate numbers on the string and output in the form of text. Platform: |
Size: 489472 |
Author:金振涛 |
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Description: 只需输入车辆图片，即可实现包括车牌检测、车牌定位、车牌字符分割、车牌字符识别的全流程图形化演示，非常形象！拥有完整matlab源代码，是学习模式识别的高贵编程参考。-Just enter the vehicle picture, you can achieve, including license plate detection, license plate location, license plate character segmentation, the whole process of license plate character recognition graphical presentations, very image! Matlab has a complete source code, is to learn the noble pattern recognition programming reference. Platform: |
Size: 1534976 |
Author:zdx |
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Description: 文章提出了一种车牌照字符倾斜的校正方法, 该方法基于Hough 变换和Radon 变换。用Hough 变换检测车牌照上下两边,并对水平倾斜的牌照进行水平校正, 再用Radon 变换检测字符垂直倾斜角度并进行垂直校正, 实验结果表明车牌图像经过二次校正大大减少了字符切分的困难, 有利于后面字符的正确识别。-This paper presents a vehicle license plate characters tilt correction method based on Hough transform and Radon transform. Hough transform to detect vehicle license plate with the top and bottom, and the license to the level of horizontal tilt correction, then the character Radon transform to detect vertical tilt and vertical adjustment, the experimental results show that the correct license plate image is greatly reduced secondary character segmentation difficulties, is conducive to correctly identify the characters behind. Platform: |
Size: 240640 |
Author:mimi |
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Description: 详细给出完整代码，从车牌提取，倾斜校正，字符分割，归一化，字符特征提取并最终实现字符的识别。-Details are given complete code, extracted from the license plate, tilt correction, character segmentation, normalization, feature extraction and final character character recognition. Platform: |
Size: 5250048 |
Author:黄晓婷 |
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Description: 车牌识别最基本的流程是：将采集后的图像二值化，然后依次经过车牌定位、字符分割、去除干扰，最后是字符识别-License Plate Recognition basic process is: after the acquisition of image binarization, followed through the license plate location, character segmentation, remove interference, and finally character recognition Platform: |
Size: 156672 |
Author:hehe |
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Description: 提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first use of statistics and feature matching method of combining background extraction, there may be extracted from the area of the vehicle then were on the vehicle may be partial edge detection area and use prior knowledge to determine the location and the individual license plate character segmentation, including the license plate character segmentation when tilted Finally PCA and neural network using a combination of methods to accurately identify the license plate. Platform: |
Size: 709632 |
Author:曹静 |
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Description: 车牌识别软件1.首先单击载入图像菜单项（载入车辆图像）,图像在images文件夹下面。
2.然后单击车牌定位与识别单项，依次进行车牌提取、倾斜校正、字符分割、字符识别。-License plate recognition software 1. First click Load Image menu item (loaded vehicle images), the image in the images folder.
2. Then click the license plate location and identification of the individual, in order to extract license plate, tilt correction, character segmentation, character recognition. Platform: |
Size: 2783232 |
Author:史宝毅 |
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Search - Vehicle license plate character segmentation