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实现车牌的定位，字符分割、及识别，是一个比较完整的程序,To achieve the positioning plate, character segmentation and recognition, is a more complete program
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本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
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OpenCV的轮廓识别，自己用MFC+OpenCV写的轮廓识别与字符分割小软件.软件可实现轮廓识别的准确分割.-OpenCV' s profile recognition, they used to write the outline of MFC+ OpenCV recognition and character segmentation in a small software. Software to achieve accurate segmentation contour dete
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车牌识别系统 包括字符分割和识别两部分 识别精度很高-License Plate Recognition system includes character segmentation and identification of two parts, a high identification accuracy
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基于识别反馈机制的多粘连字符分割与识别
验证码识别相关资料，主讲字符分割-Feedback mechanism based on recognition of multi-adhesion character segmentation and recognition verification code to identify the relevant information, speaker character segmentation
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本程序实现的是文字识别中的文字切分环节，用基于连通域的文字切分算法实现-This procedure is the realization of the text character recognition segmentation aspect connected with the text-based segmentation algorithm
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程序代码说明
P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-Procedure Code Descr iption P0801: Call Number text image segmentation P0802: adhesion chara
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P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数
-P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Re
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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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用matlab做的车牌识别的完整源代码,包括车牌定位,二值化,滤波去噪,字符分割,识别,识别部分用的BP网-Matlab do with License Plate Recognition complete source code, including the license plate location, binarization, filtering noise, character segmentation, identification, identification of parts
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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
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数字识别系统的图像处理部分的源码，包括图像灰度转换，二值化，梯度锐化，去离散噪声，倾斜度调整，字符分割，归一化调整，紧锁重排等-Digital Identification System part of the source image processing, including image conversion, binarization, the gradient sharpening to discrete noise, tilt adjustment, character segment
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A Matlab Implementation of Optical Character Recognition (OCR)
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Optical Character Segmentation and Recognition
from a Rochester Flag
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分割中国字符的程序，对手写体识别的研究者有帮助！-
Chinese character segmentation procedures, handwriting recognition researchers help!
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经典的字符分割算法，能有效分割带有一定噪声的彩色图像-The classic character segmentation algorithm can effectively separate color images with a certain noise
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本程序实现的功能是完成对车牌图像的定位、字符分割、字符识别功能的实现。-To achieve the function of this program to complete the license plate image positioning, character segmentation, character recognition implementation.
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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 recogniti
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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 loc
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此程序是针对汉字的分割，所编写的程序，必须在预处理后进行才能准确的对汉字进行分割-This program is for the character of the division, the written procedures must be accurate after pretreatment of the character segmentation
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