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用matlab编的车牌识别，基于对颜色（蓝色）的定位-Matlab made by the License Plate Recognition, based on the color (blue) positioning
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基于小波包特征提取的车牌字符识别，是一片期刊论文，还不错的，可以学习-Feature extraction based on wavelet packet license plate character recognition is a journal articles, but also good, you can learn
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文字图像识别：索书号文字图像分割；粘连字符切分；文字识别；彩色车牌分割；商标文字分割；文字识别的识别子函数；文字识别的结构特征提取子函数-Letter Image Recognition: Call Number Letter image segmentation adhesion character segmentation language recognition color license plate segmentation trademark characters segmen
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一些有关车牌识别的硕士论文和期刊论文，非常实用，-License Plate Recognition of some of the master' s thesis and journal articles, very useful,
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脉冲耦合神经网络在车牌识别中的应用,这是在车牌领域中的较新的技术-Pulse-Coupled Neural Networks in the application of license plate recognition, license plate at This is relatively new in the field of technical
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图形图像处理车牌识别系统源代码可直接运行-License Plate Recognition
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full OCR scr ipt using matlab-full OCR scr ipt using matlab
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有效的实现车牌定位，车牌字符分割和车牌字符识别。-To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.
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美国车牌的自动识别的图像分割的实验，Virginia Polytechnic Institute and State University的英语毕业论文，写的较好。-EXPERIMENTS IN IMAGE SEGMENTATION FOR
AUTOMATIC US LICENSE PLATE RECOGNITION
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基于matlab的车牌识别系统设计源码，由于对硬件的要求，只能识别特定环境下拍摄到的车牌-Based on the license plate recognition matlab source system design, because of hardware requirements, can only identify the specific circumstances of the license plates photographed
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这是一个简单的车牌识别程序，环境是MATLAB。-License Plate Recognition simple procedures
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程序中有人脸识别，车牌识别，文字识别，细胞边缘检测，Snake算法，不同搜索方法比较等代码。其中车牌识别是VC环境下开发，其他的是Matlab环境下开发。-Procedures are face recognition, license plate recognition, character recognition, cell edge detection, Snake algorithm, a comparison of different search methods code. One
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这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。-The matlab program to achieve the target object' s image segmentation and extraction technology, in the annex of the procedures for license plate detection and recognition, for example, the effe
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是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统-Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems
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Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language
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一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
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实现车牌的自动识别、分割和神经网络处理。-To achieve the automatic license plate recognition, segmentation and neural network processing.
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Matlab在图像处理与目标识别方面的应用 附有例题 1染色体识别与统计 2汽车牌照定位与字符识别 3 基于BP神经网络识别字符的简单实验-Matlab image processing and target recognition in the application of a chromosome with Example 2 License Plate Recognition and Statistical location and character recognition based
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对数字车牌的识别，详细揭示了过程，并提供了实验报告。-Digital license plate recognition, in detail reveals the process and provide an experimental report.
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利用神经网络智能识别技术，识别车牌号吗，效果明显-Neural network intelligent recognition technology to identify license plate number you, obvious effect
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