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脱机字符识别算法,包括手写数字识别之Fisher线性判别,手写数字识别之模板匹配法,数字识别之神经网络法,细化算法
-offline character recognition algorithms, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identification neura
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利用Hopfield 神经网络联想记忆的功能, 对有噪声干扰的字母进行识别-Using Hopfield neural network associative memory function, there is noise interference on the letters to identify
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基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题,并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类,并附加线性感知器来实现单字符的有效识别,算法简便,识别率高,可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
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字符识别是模式识别领域的一项传统的课题,这是因为字符识别不是一个孤立的问题,而是模式识别领域中大多数课题都会遇到的基本问题,并且在不同的课题中,由于具体的条件不同,解决的方法也不尽相同,因而字符识别的研究仍具有理论和实践意义。这里讨论的是用神经网络识别数字的问题.-Character recognition is a traditional field of pattern recognition issues, this is because character recognition is
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利用神经网络进行字符识别。字符识别时模式识别的一个典型应用。本源码将训练BP神经网络使其能过对26个英文字母进行识别。-The use of neural network character recognition. When character recognition of a typical pattern recognition application. The source will be training BP neural network to enable them to have
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这是基于matlab的车牌字符识别完整程序,内容详尽,可操作性强,是做模式识别难得的参考资料-This is based on the license plate character recognition matlab complete procedures, and detailed, easy to operate, is so rare reference pattern recognition
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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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神经网络的源代码,关于字符识别的一些东西-Neural network source code, something about character recognition
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基于BP神经网络的脱机手写汉字识别研究,包含预处理、汉字识别、后处理和识别输出-The Research of Off-line hand written Chinese character recognition Based on BP neutral network
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用VC编写的 基于神经网络的文字识别系统,希望对大家有帮助-Written by VC neural network based character recognition system, we want to help
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:本文较为系统地介绍了纸币面值数字图象识别的计算机仿真。文中详细介绍了模版
匹配、特征点匹配、神经网络等字符识别方法,并进行了比较。根据本文研究对象的特点,选择
了从分析数字本身的拓扑结构入手,根据字符投影分布的规律来判断和识别的方法,成功实现
了纸币面值的识别。-: This article notes a more systematic introduction to digital image recognition, face value of the computer si
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本文将BP神经网络应用于车牌的自动识别,在简述BP神经网络的基础上,重点讨论了用BP神经网络方法对车牌照字符的识别,用MATLAB完成了对车牌照数字识别的模拟,最后得出实验结果,证明这种方法是高效-BP neural networks used in automatic license plate recognition, in brief, based on BP neural network, focused on the BP neural network method for vehic
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Character recognition using Neural Network
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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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这是一篇基于神经网络的字符识别系统的论文-This is a paper on Character recognition based on neural network system
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基于BP神经网络的字符识别,不涉及从照片中定位车牌,分割字符等前期处理,只对含有单独数字的图片样本进行识别-Character recognition based on BP neural network does not involve locate the license plates from photos, split characters such as pre-treatment, only to be identified with separate digital picture
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神经网络字符识别源代码,用于字符的识别很方便啊-Neural network character recognition source code
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基于卷积神经网络的字符识别技术,较好的算法!!神经网络、-Convolution-based neural network character recognition technology, better algorithm! ! Neural network,
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Software in Neural Character Recognition
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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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