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这是一个用来消除车牌上的污垢的算法，经过此算法对后面的车牌字符提取和分割更有利。-This is a new algorithm used to eliminate the dirt on the license plate, after the algorithm on the back of the license plate character extraction and segmentation more advantageous.
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车牌识别定位、字符分割与识别，这些是从淘宝上用很多钱买来的，希望能够帮助大家。-License plate recognition positioning, character segmentation and recognition, these were purchased taobao with a lot of money, want to be able to help you.
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车牌识别完整的代码，包括车牌定位，字符分割，字符识别。-License Plate Recognition complete code, including the license plate location, character segmentation, character recognition.
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车牌识别程序，车牌bmp文件读取与字符分割、归一化，车牌识别算法。-License plate recognition program, bmp file to read the license plate and character segmentation, normalization, license plate recognition algorithms.
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一、车型识别
1.首先单击车型识别菜单下的载入图像菜单项（载入背景和前景图像）。
2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理，轮廓提取。
3.最后单击车型识别菜单项，对车辆进行识别。
4.测试图像存储在img文件夹下，车型轮廓模板存储在contour文件夹下。
二、车牌识别
1.先打开一幅图片，然后在车牌定位与识别菜单下依次点击：车牌提取、倾斜校正、字符分割、字符识别。
2.测试图像存储在img文件夹下。
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使用matlab编写的车牌识别程序，主要包括图像采集、车牌定位、字符分割和字符识别。-Prepared using matlab license plate identification procedures, including image acquisition, license plate location, character segmentation and character recognition.
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彩色车牌识别系统，包括牌照的定位、分割以及字符识别-Color license plate recognition system, including positioning a license, segmentation and character recognition
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车牌识别，首先对车牌进行提取，对车牌二值化，字符分割，字符识别-License plate recognition, license plate first extracted, license plate binarization, character segmentation, character recognition
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使用opencv2.1编写的车牌识别系统，包含车牌的提取，矫正，字符分割，车牌识别-Opencv2.1 prepared using license plate recognition systems, license plate containing the extracted, correction, character segmentation, license plate recognition
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车牌定位及字符分割算法的研究与实现，很适合初学者去学习-License plate location and character segmentation algorithm research and implementation, it is suitable for beginners to learn
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车牌识别，主要通过对车拍照片进行二值化、灰度处理、车牌定位、字符分割、字符识别-License plate recognition, primarily through the car pictures binarized gradation processing, license plate location, character segmentation, character recognition
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对车牌进行图像处理，包括字符分割处理，字符识别处理(License plate for image processing, including character segmentation, character recognition processing)
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1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。
2.测试图像存储在当前目录的img下。
3.测试集、训练集、目标向量均存储在img下的文本文件中。(1. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, ti
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用于图片的查找，二值化，灰度化，车牌的定位，字符的分割，字符的识别。(For image search, two values, gray, license plate positioning, character segmentation, character recognition.)
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提供一种最基础的车牌识别程序，需进行以下几个基本的步骤：车牌图像预处理；车牌定位，定位图片中的车牌位置；车牌字符分割，把车牌中的字符分割出来；车牌字符识别，把分割好的字符进行识别，最终组成车牌号码。(To provide a basic license plate recognition program, the following basic steps need to be carried out: image preprocessing of license plate; Location
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索书号文字图像分割，粘连字符切分，彩色车牌分割 ，文字识别的结构特征提取子函数(Call text image segmentation, character segmentation, color plate segmentation, text recognition feature extraction Functions)
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一张车的照片进行车牌分割、字符分割后，最后运用KNN算法进行字符识别。(A car photo license plate segmentation, character segmentation, the last use of KNN algorithm for character recognition.)
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车牌识别处理过程，主要包括预处理、边缘提取、车牌定位、字符分割、字符识别五大模块(The process of license plate recognition mainly consists of five modules: preprocessing, edge extraction, license plate location, character segmentation and character recognition)
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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。
注：本程序使用的是OpenCV2.1版本(First click the load image menu item(load the vehicle image), which is under the images folder.
2. The license plate extraction, tilt correction, c
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对图像中的车牌进行车牌区域提取、字符分割、自动识别(The area extraction, character segmentation and automatic recognition of the license plate in the image)
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