Description: 本文将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。并附有部分识别代码。-BP neural network used in the automatic vehicle identification number plates, images of the license plates after pretreatment on the basis of discussion focused on the BP neural network method for car license plate character recognition. Accompanied by some identification code. Platform: |
Size: 857321 |
Author:小博士 |
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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. Platform: |
Size: 2716038 |
Author:宁阳洋 |
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Description: 车牌定位系统是进行车牌自动识别的重要一部分能正确的获得整个图象的车牌部分 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-plates is positioning system for automatic vehicle identification can be an important part of the right of access to the entire image plates some of the specific steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc - (Tc-Gmin) / 3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do simple B adjacent pixel value is reduced, the new images to be G, Gi, j = Pi, j - Pi, j-1 Platform: |
Size: 1497227 |
Author:潘文 |
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Description: 车牌定位系统是进行车牌自动识别的重要一部分能正确的获得整个图象的车牌部分 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-plates is positioning system for automatic vehicle identification can be an important part of the right of access to the entire image plates some of the specific steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc- (Tc-Gmin)/3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do simple B adjacent pixel value is reduced, the new images to be G, Gi, j = Pi, j- Pi, j-1 Platform: |
Size: 1497088 |
Author:潘文 |
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Description: 本文将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。并附有部分识别代码。-BP neural network used in the automatic vehicle identification number plates, images of the license plates after pretreatment on the basis of discussion focused on the BP neural network method for car license plate character recognition. Accompanied by some identification code. Platform: |
Size: 3984384 |
Author:小博士 |
Hits:
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. Platform: |
Size: 4088832 |
Author:宁阳洋 |
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Description: 车辆牌照的自动识别技术中的字符分割，改一下参数就可以用-Automatic vehicle identification technology license the characters in the partition, change the parameters can be used Platform: |
Size: 339968 |
Author:耸起 |
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Description: Visual C++写的车牌自动识别系统（只完成到车牌定位提取一步，字符的识别没有完成，大家有兴趣可以自己完成），功能包括前期图像处理的各种操作，支持各种颜色的bmp图片，二值化、边缘检测、滤波、平滑、直方图处理等等，测试图片也打包进源码了-Visual C++ Written Automatic Vehicle Identification System (only one step to extract license plate location, character identification is not complete, we are interested in can be completed), features include a variety of pre-image processing operation, to support a variety of colors The bmp images, binarization, edge detection, filtering, smoothing, histogram processing, etc., test images are also packaged into the source of the Platform: |
Size: 1909760 |
Author:wuyiliang |
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Description: RFID is an area of automatic identifi cation that is gaining
momentum and is considered by some to emerge as one of
the most pervasive computing technologies in history. In its
simplest form, RFID is a similar concept to bar coding. It is
seen as a means of enhancing data processes and is comple-
mentary to existing technologies. It is a proven technology
that has been in use since the 1970s.-Amore complex description is an electromagnetic proxim-
ity identifi cation and data transaction system. Using ‘‘RFID
tags’’ on objects or assets, and ‘‘readers’’ to gather the tag in-
formation, RFID represents an improvement over bar codes in
terms of non-optical proximity communication, information
density, and two-way communication ability. Operational
RFID systems involve tags and readers interactingwith objects
[assets] and database systems to provide an information and/
or operational function.
RFID is used for a wide variety of applications ranging from
the familiar building access control proximity cards to supply
chain tracking, toll collection, vehicle parking access control,
retail stock management, ski lift access, tracking library
books, theft prevention, vehicle immobiliser systems and rail-
way rolling stock identifi cation and movement tracking. Platform: |
Size: 198656 |
Author:胡利建 |
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Description: 这是一个可以自动识别汽车车牌的程序，VC下可以运行，对想做汽车车牌识别的人大有帮助。-This is an automatic identification procedure for car license plate, VC can be run on the wanted vehicle license plate recognition has helped the National People' s Congress. Platform: |
Size: 2483200 |
Author:陈静 |
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Description: 本文主要研究了基于视频的车型自动识别系统，系统通过对摄像机采集的视
频图像进行运动车辆检测分割、特征提取与选择、模式识别等处理，达到实时车
型识别-This paper mainly studies video-based automatic vehicle identification system, the system collected through the camera video image vehicle detection exercise segmentation, feature extraction and selection, pattern recognition and other processing, to achieve real-time model identification Platform: |
Size: 7093248 |
Author:周丹凤 |
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Description: Automatic license plate recognition
(LPR) is one of the techniques that can be used
for the identification of vehicles. The purpose of
this paper is to investigate a suitable way to
recognize the registration plate from an image of
vehicle, Platform: |
Size: 327680 |
Author:shokri |
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Description: In this thesis, a new algorithm for automatic vehicle identification has been
proposed. Identification is made by license plate recognition (LPR) algorithm.
License plate recognition is a form of automatic vehicle identification and is an
algorithm that identifies the vehicle by recognizing the license plate automatically. In
this study, a simple but effective algorithm is presented for vehicle’s license plate
recognition system. Platform: |
Size: 716800 |
Author:Serhat |
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Description: Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI systems. In
this study, a smart and simple algorithm is presented for vehicle’s
license plate recognition system. The proposed algorithm consists of
three major parts: Extraction of plate region, segmentation of
characters and recognition of plate characters. For extracting the
plate region, edge detection algorithms and smearing algorithms are
used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used. And finally statistical based
template matching is used for recognition of plate characters. The
performance of the proposed algorithm has been tested on real
images. Based on the experimental results, we noted that our
algorithm shows superior performance in car license plate
recognition Platform: |
Size: 315392 |
Author:Serhat |
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Description: This plate recognition algorithm document. It tells very detailed explanation.-This is plate recognition algorithm document. It tells very detailed explanation. Platform: |
Size: 716800 |
Author:chiqui |
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Search - automatic vehicle identification