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用VC开发联机数字、英文字符及汉字识别、人脸的检测与定位、图像的纹理分析方法、手写数字识别之模板匹配法等识别方法代码,均通过调试运行,希望对大家有所帮助-VC-line with the development of the number of English characters and Chinese character recognition, face detection and location, image texture analysis, handwritten numeral
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VB基于OCR的手写文字识别程序源代码,代码包中包括有两款演示程序,不过目前不能支持中文,可以识别数字和字母,识别率不错,识别后分别得出匹配率和匹配的字符。-VB-based handwritten character recognition OCR source code, code package includes two demo program, but can not support Chinese, can identify numbers and letters, good rec
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基于模板匹配的手写体字符识别方法,我的大学毕业论文,最简单的方法,结果很好用-Based on template matching method of handwritten character recognition, my university thesis, the simplest way, with good results
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将一行手写体汉字切分成单独的汉字,为接下来的汉字识别工作打基础。-Line handwritten Chinese characters will be cut into separate Chinese characters, Chinese character recognition for the work of the next foundation.
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uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类,手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, han
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A Matlab Implementation of Optical Character Recognition (OCR)
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三种神经网络方法用于手写体字符识别PNN、RBF、BP-Three kinds of neural networks for handwritten character recognition PNN, RBF, BP
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采用神经网络实现手写识别的一种方法,建立Bp神经网络,采用快速训练方法,可快速完成一类相关手写字体的模式识别,识别率较高,当字体变化较大识别率降低时,可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别,但也存在识别速度较慢,有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
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手写汉字识别,本文采用模板匹配的方法,进行识别,模板匹配方法的通用性大家都很了解,你可以在本代码的基础上改善新的功能-Handwritten Chinese character recognition, this paper adopts the template matching method, identification, template matching method versatility are all too familiar, you can code on the basis
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基于模板匹配算法的识别技术,对输入的手写字符能进行实时的识别。-Recognition algorithm based on template matching techniques can input handwritten character recognition in real time.
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包括手写文字识别的各个步骤,图像的预处理、裁剪、大小转换、人工神经网络训练和识别等等。-Handwritten character recognition, including the various steps, image preprocessing, cropping, size, conversion, training and recognition of artificial neural networks and so on.
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支持向量机的研究现已成为机器学习领域中的研究热点,其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则,在最小化样本点误差的同时,缩小模型泛化误差的上界,即最小化模型的结构风险,从而提高了模型的泛化能力,这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的,经过十几年的研究和发展,已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势,已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。- Support
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基于VC++上的手写阿拉伯字符识别的程序源码,图像预处理上的程序源码-VC++ based on handwritten Arabic character recognition program source code, program source code on the image preprocessing
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用VC++编写的手写识别系统 。。。 已调试-Handwritten character recognition
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自己制作基于“欧氏距离的算法”来识别文字的相似性,从而来识别手写文字的程序,开发环境是matlab.需要讲手写的字加到字库才可以哦。-Produce their own based on the " Euclidean distance algorithm" to identify the similarity of the text, handwritten text in order to identify the procedures, the development e
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基于深层网络学习的手写字符识别,识别率高-Handwritten character recognition based on deep network learning, the recognition rate
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手写字符识别,首先实现做一个界面,然后在界面里里面进行手写字符识别-Handwritten character recognition, the first to make an interface for handwritten character recognition, and then inside the interface
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基于字符识别的手写体生成程序,用于图像图形处理,可供参考-Handwritten character recognition based generation program
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基于CNNs的手写字符识别系统,载入MNIST手写字符数据库,通过训练提取特征,达到99 的识别率-Based on CNNs handwritten character recognition system, load MNIST handwritten character database, extract features through training, up to 99 recognition rate
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用visual c++写的一个手写文字识别程序包含源代码-With visual c++ write a handwritten character recognition program contains the source code
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