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java车牌定位，灰度化，二值化，边缘处理，水平定位，垂直定位-java license plate location, graying, binarization, edge processing, horizontal position, vertical position, character segmentation
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车牌字符分割:字符切分分离出车牌号码的全部字符图像。-License plate character segmentation: character segmentation plate number of all isolated character images.
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利用matlab平台，采用直方图求取车牌图像中的阈值，进行字符分割-Using matlab platform, strike plate image histogram threshold for character segmentation
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车牌识别的边框去除,去除边框的干扰，便于字符的分割与识别。-LPR border removal, removal of border interference, ease of character segmentation and recognition.
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实现车牌字符分割功能的C语言程序，效果还不错-License plate character segmentation feature of the C language program
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一个切实可行的车牌识别系统代码，包括车牌定位、车牌分割与车牌字符识别过程。-A practical license plate recognition system code, including the license plate location, license plate character segmentation and recognition process.
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本文利用MATLAB从预处理、边缘检测、车牌定位、车牌切割，字符分割、字符识别等几个方面，具体介绍了数字图像处理中车牌自动识别的原理。-In this paper , Principle of automatic license plate recognition in digital image processing is specially introduced using MATLAB from some perspectives , which conclude processing ,
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能够对互联网上的验证码进行识别，二值化、去噪、旋转、梯度锐化、去边框、替换颜色、字符分割等算法。先训练后识别-Able to verify the code on the Internet to identify, binarization, denoising, rotation, gradient sharpening, go to the border, replacing the color, character segmentation algorithm. After first i
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车牌识别，矫正车牌，定位车牌，字符分割。-License plate recognition, correction of license plates, license plate positioning, character segmentation.
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实现车牌字符的分割，此方法运用起来比较简单，特别适合初学者-License plate character segmentation, this method is relatively simple to use, especially for beginners
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车牌识别算法。包括图像预处理、车牌分割、字符分割-License plate recognition algorithm. Including image preprocessing, license plate segmentation, character segmentation and character recognition
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在matlab开发环境下，实现彩色图片的车牌定位及车牌字符的分割-In matlab development environment, to achieve color picture of the license plate location and license plate character segmentation
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根据指定字符分割字符串，VC++精选编程源码，很好的参考。-According to the specified character segmentation character string, VC++ select programming source code, a good reference.
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图像处理，车牌识别，车牌定位，字符分割，字符识别-Image processing, license plate recognition, license plate location, character segmentation, 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。-1 First, click Load Image menu item (loaded vehicle image), the image in the images folder below. 2, and then click the individual license plate location and recognition
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基于MATLAB的车牌识别的设计算法，实现的有车牌定位，车牌字符分割和识别等算法。- In this thesis，the main contents include: First, copes with positioning process of the captured vehicle license plate and then preprocess the positioned license plate Second, based on comparison of gray l
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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 charact
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自己写的C++图像处理代码，实现了灰度值转换，二值化，canny边缘检测，Hough运算，投影法进行字符分割。-Write your own C++ image processing code, to achieve a gray value conversion, binary, canny edge detection, Hough computing, projection method for character segmentation.
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实现二值图像字符分割,用于身份证号码定位识别过程中号码体的字符分割-To implement binary image character segmentation, is used in the process of the id number positioning number body character segmentation
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车牌定位系统代码。车牌自动识别是计算机视觉、图像处理与模式识别技术在智能交通领域应用的一项重要研究课题，是实现交通管理智能化的关键环节。而车牌定位则是车牌自动识别系统的关键技术之一，也是其难点之一。车牌定位系统对车牌识别系统来说至关重要，其定位准确度在很大程度上影响着以后的字符分割和识别结果。因此，汽车图像中牌照的正确定位是车牌识别技术中的关键所在。目前，主要通过两条技术路线进行车牌定位的研究。早期，由于受到计算机运算速度和内存大小的影响，考虑到实时性，车牌定位主要是基于灰度图像处理技术。近年来
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