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本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-This paper describes and designs a free hand
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车牌识别算法,字符分割部分基于模板匹配法-License plate recognition algorithm, character segmentation is based in part on a template matching method
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这是一个基于模板匹配的手写体数字字的识别程序，运行正常可直接使用。
-This is a handwritten numeral character recognition based on template matching procedures, normal operation can be used directly.
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脱机字符识别算法，包含手写数字识别之Fisher线性判别，手写数数字识别之模板匹配法，数字识别之神经网络法，细化算法 已通过测试。
-Off-line character recognition algorithm, contains handwritten numeral recognition of the Fisher linear discriminant, the template matching method for handwritten numerals recogniti
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图像预处理 图像灰度化 模板匹配配 字符识别 轮廓提取可直接使用。
-The image pre-processing the image gray template matching contour extraction can be used directly with character recognition.
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用matlab编程实现车牌字符的识别，在识别中运用了模板匹配的方法-Matlab programming realize license plate character recognition, the recognition using a template matching method
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字符识别的源码，可识别数字和英文。包括图像处理和模式识别的内容。图像处理包含转灰度图、二值化、滤波、细化、分割、规格化等。模识别部分包含欧式距离的模板匹配和BP神经网络。-Character recognition source code, can recognize numbers and English. Including image processing and pattern recognition. Contains to grayscale image processing, bi
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基于模板匹配和神经网络的车牌字符识别方法.-Based on template matching and neural network license plate character 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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this code make optical character recognition using template matching with correlation method
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基于模板匹配的车牌识别，效果还不错，运行时需要有标准的车牌字符模板-License plate recognition based on template matching, results were pretty good, you need to have a standard run-time license plate character template
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原始图像，形态学处理，车牌定位，位置提取，模板匹配，字符识别-The original image, morphological processing, license plate location, location, extraction, template matching, character recognition
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该识别程序是对26个英文字母和10个数字进行识别，用C++编程语言编写，同时采用13点特征提取对每一个字符进行有效的特征提取，再再用模板匹配最字符进行识别。-The identification procedure is 26 letters and 10 numbers identify, written C++ programming language, while 13-point feature for each character extract effective feature e
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基于模板匹配的字符识别，能够准确识别汉字和英文字母-Character recognition based on template matching, which can accurately identify numbers and English characters
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使用MATLAB对车牌进行识别，并在GUI界面上进行显示，字符识别采用的是模板匹配法，附有待识别车牌和字符模板库(License plate recognition using MATLAB, and displayed on the GUI interface, character recognition using the template matching method With the number plate and character template library to be r
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使用特征提取与模板匹配方法识别数字验证码，预处理阶段包括验证码图像灰度化、二值化、去噪，去噪使用RGB三原色法，验证码字符分割采用自适应分割方法，最后提取单个验证码图像特征值，与模板库字符进行匹配识别(The use of feature extraction and template matching method of digital identification verification code, verification code preprocessing consists of i
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识别文字，字符识别字符的识别目前用于车牌字符识别(OCR)中的算法主要有基于模板匹配的OCR算法以及基于人工神经网络的OCR算法.(Character recognition is currently used in license plate character recognition (OCR). There are mainly OCR algorithms based on template matching and OCR algorithm based on artificial n
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可实现MATLAB环境下的车牌识别系统源程序，运用模板匹配法进行字符识别。(The source program of license plate recognition system under MATLAB environment can be realized, and the character recognition can be carried out by template matching method.)
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