Description: 常用搜索算法
光盘上包括了书上提供的例程及算法，均可在Visual C++ 6.0下编译通过。
读者可参照书籍了解程序的使用。
实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像”
用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数
字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。
-search algorithm commonly used on the CD, including a book on the routines and algorithms, may, in Visual C 6.0 compile. Readers are referred to the book to understand the procedure used. Experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. Platform: |
Size: 131868 |
Author:super |
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Description: 联机字符识别
实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像”
用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数
字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。
-online character recognition experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. Platform: |
Size: 151777 |
Author:super |
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Description: 脱机字符识别
实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像”
用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数
字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。
-experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. Platform: |
Size: 191558 |
Author:super |
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Description: 常用搜索算法
光盘上包括了书上提供的例程及算法，均可在Visual C++ 6.0下编译通过。
读者可参照书籍了解程序的使用。
实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像”
用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数
字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。
-search algorithm commonly used on the CD, including a book on the routines and algorithms, may, in Visual C 6.0 compile. Readers are referred to the book to understand the procedure used. Experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. Platform: |
Size: 1675264 |
Author:super |
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Description: 脱机字符识别
实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像”
用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数
字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。
-experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. Platform: |
Size: 10377216 |
Author:super |
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Description: 手写字母识别,可以自动识别26个英文字母-Handwritten letter recognition, can automatically identify the 26 letters of the alphabet Platform: |
Size: 53248 |
Author:liujunwei |
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Description: 使用matlab对手写的字母进行辨识，使用matlab7.0版本-Matlab on the use of handwritten letters to identification, the use of matlab7.0 version Platform: |
Size: 1024 |
Author:徐进富 |
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Description: 基于人工神经网络的手写英文字母、数字图像识别的源程序代码。-Based on Artificial Neural Network handwritten letters of the alphabet, the digital image to identify the source code. Platform: |
Size: 4096 |
Author:吕文华 |
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Description: 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 recognition rate, recognition rate after the match were drawn and the characters match. Platform: |
Size: 72704 |
Author:Newhampshise |
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Description: 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, handwritten numbers and letters in print. Platform: |
Size: 875520 |
Author:许翔 |
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Description: 基于人工神经网络的手写字母识别，有点简陋但具有代表性-Based on artificial neural network recognition of handwritten letters, a bit shabby, but representative, Platform: |
Size: 3794944 |
Author:ew |
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Description: 在matlab环境下基于bp网络的手写字母体的识别 -Bp in matlab network environment based on recognition of handwritten letters body Platform: |
Size: 146432 |
Author:康建军 |
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Description: 基于BP神经网络的手写英文字母识别,使用C#语言编写，含字母图片-Based on BP neural network Handwritten English letters recognition, the use of C# language, including alphabet picture
Platform: |
Size: 347136 |
Author:kelven |
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Description: 识别图片里的手写字母，运用不同的算法进行识别，并进行改进使其识别效率高于常规算法。-Recognition of handwritten letters in the picture, using different algorithms to identify and make improvements to make identification more efficient than conventional algorithms. Platform: |
Size: 25851904 |
Author:石头小羊 |
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Description: 如果输出为“0”(即结果错误)，则把网络连接权值朝着减小综合输入加权值的方向调整，其目的在于使网络下次再遇到“A”模式输入时，减小犯同样错误的可能性。如此操作调整，当给网络轮番输入若干个手写字母“A”、“B”后，经过网络按以上学习方法进行若干次学习后，网络判断的正确率将大大提高。这说明网络对这两个模式的学习已经获得了成功，它已将这两个模式分布地记忆在网络的各个连接权值上。当网络再次遇到其中任何一个模式时，能够作出迅速、准确的判断和识别。一般说来，网络中所含的神经元个数越多，则它能记忆、识别的模式也就越多。(If output is "0", that is the result error, then adjust the weight of network connection to reduce the direction of the comprehensive input weighted value. The purpose is to reduce the possibility of making the same mistake when the network enters the "A" mode again. In this way, when we input several handwritten letters "A" and "B" into the network, the accuracy of network judgement will be greatly improved after several times of learning by network. This shows that the network has been successful in learning the two patterns, and it has distributed the two patterns in the network's various connection weights. When the network meets any of them again, it can make quick and accurate judgment and recognition. In general, the more the number of neurons in the network is, the more patterns it can remember and recognize.) Platform: |
Size: 4096 |
Author:l_l_l |
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Description: 本书首先从简单的思路着手，详细介绍了理解神经网络如何工作所必须的基础知识。第一部分介绍基本的思路，包括神经网络底层的数学知识，第2部分是实践，介绍了学习Python编程的流行和轻松的方法，从而逐渐使用该语言构建神经网络，以能够识别人类手写的字母，特别是让其像专家所开发的网络那样地工作。第3部分是扩展，介绍如何将神经网络的性能提升到工业应用的层级，甚至让其在Raspberry Pi上工作。(This book begins with a brief introduction to the basics necessary to understand how neural networks work. The first part introduces the basic ideas, including the basic mathematical knowledge of the neural network, the second part is the practice, introduces the popular and easy way to learn Python programming, so as to gradually use the language to construct neural networks to recognize human handwritten letters, especially to make them as well as the network developed by experts. Do. Part 3 is an extension of how to improve the performance of neural networks to the level of industrial applications, and even let them work on Raspberry Pi.) Platform: |
Size: 10143744 |
Author:wangjindian00 |
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Description: 通过深度学习，利用已有库文件提取手写体图信息。与数据库中的内容进行对比，来识别手写体字母。(Through in-depth learning, handwritten graphic information is extracted from existing library files. Compare with the content in the database to recognize handwritten letters.) Platform: |
Size: 26624 |
Author:下一站- |
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Search - handwritten letters