Description: 支持手写数字识别及训练的程序源码，可以训练识别0-9的数字，有图形界面。-support handwritten numeral recognition and training program source code, can be trained to identify the figures 0-9, graphics interface. Platform: |
Size: 4853760 |
Author:lm |
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Description: 基于神经网络的手写数字识别的源代码，绝对能够正常编译并运行！-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run! Platform: |
Size: 207872 |
Author:田巾 |
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Description: 程序实现了.net环境下，C++语言的手写数字识别，程序对手写数据进行了去边框处理，采用最近邻法进行了分类-achieved with the program. Net environment, the C language handwritten numeral recognition, procedures for handwritten data to the frame, using nearest neighbor method of classification Platform: |
Size: 2330624 |
Author:江南 |
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Description: Java编写的手写数字识别器。可以识别一般人的手写数字字体，识别率达到80％。-Java prepared handwritten numeral recognition. Most people can identify the handwriting digital fonts, the recognition rate of 80. Platform: |
Size: 22528 |
Author:huzhenxing810827 |
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Description: 在matlab平台下开发的对手写数字识别代码，-In matlab platform developed under the code of handwritten numeral recognition, Platform: |
Size: 1024 |
Author:解梅 |
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Description: 手写数字聚类算法的实现. 该程序层次聚类, 动态聚类, 模糊聚类. 是学习人工智能在图像领域应用的好的资料.-Handwritten numeral realize clustering algorithm. The program-level clustering, dynamic clustering, fuzzy clustering. Is to study the field of artificial intelligence applications in the image of good information. Platform: |
Size: 313344 |
Author:刘志远 |
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Description: 用PCA进行手写数字识别，主要是用Matlab实现了原始图像的预处理，进而分别采用传统的PCA方法、改进的PCA算法和2维PCA算法进行了数字识别。-PCA carried out using handwritten numeral recognition, is mainly used Matlab realize the original image preprocessing, and then using the traditional PCA methods, improved PCA algorithm and 2-D PCA algorithm of digital identification. Platform: |
Size: 8192 |
Author:xulei |
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Description: 手写数字识别,提取数字骨架,划直线和该骨架相交,取交点数和数字端点为特征向量.建立特征库进行匹配-Handwritten numeral recognition, extraction digital skeleton designated intersection of a straight line and the skeleton, cross check points and digital endpoint for the eigenvector. To establish the characteristics of the Treasury match Platform: |
Size: 1024 |
Author:黄超 |
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Description: 详细说明了如何实现基于bp神经网络的手写数字识别。神经网络对于参数的设置是敏感的，尤其是隐藏层的单元个数，本文列出了一系列bp神经网络的应用的参数设置。结果表明，可以实现较好的模式识别功能-Detailed description of how to realize bp neural network-based handwritten numeral recognition. Neural network for parameter setting is sensitive, especially the number of hidden layer units, the paper sets out a series of bp neural network applications, parameters setting. The results show that pattern recognition can be achieved better functional Platform: |
Size: 1120256 |
Author:胡存英 |
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Description: 用Java编写的手写数字识别器源代码。能够对手写数字有很好的识别能力。经过试验，适应性还是比较强的-Using Java prepared handwritten numeral recognizer source code. Able to handwritten numeral recognition has a very good. After testing, adaptation is still relatively strong Platform: |
Size: 28672 |
Author:小兔兔牙 |
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Description: 上传内容是有关手写数字识别的一系列文献，希望对各位有用！-Upload content to a series of handwritten numeral recognition literature, in the hope that useful! Platform: |
Size: 1610752 |
Author:周静 |
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Description: 关于手写数字识别的c++源代码，很不错，希望对大家有帮助。-Handwritten numeral the identification of c++ source code, very good, and I hope for all of us to help. Platform: |
Size: 735232 |
Author:wangyan |
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Description: 手写数字识别系统，能识别0~9，可以进行训练或读取样本文件，选取最符合特征值的前两个显示，可以人工纠错-Handwritten numeral recognition system that can identify 0-9, can be trained or read sample file, the most compatible with the values of the two display features, can be manually Correction Platform: |
Size: 182272 |
Author:庭月照 |
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Description: 基于Bayes和神经网络的手写体数字识别程序(matlab)-Handwritten numeral recognition program based on Bayes and neural network(matlab) Platform: |
Size: 362496 |
Author:miemiemie |
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Description: 本案例描述了图像中手写阿拉伯数字的识别过程，对手写数字识别的基于统计的方法进行简要介绍和分析，并通过开发一个小型的手写体数字识别系统来进行实验。手写体数字识别系统需要实现手写数字图像的读取功能、特征提取功能、数字的模板特征库的建立功能及识别功能-This case describes the image recognition process handwritten Arabic numerals, a brief description and analysis of the handwritten numeral recognition based on statistical methods, and through the development of a small handwritten numeral recognition system experiment. Handwritten numeral recognition system needs to achieve handwritten digital image reading function, feature extraction, recognition and the establishment of functional template feature digital library Platform: |
Size: 39936 |
Author:郑珊珊 |
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