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介绍数字图像统计模式识别、模式识别决策方法及实现：测试代码有人脸检测与特征点定位、汽车牌照识别、脑部医学影像诊断、印刷体汉字识别、手写体数字识别、运动图像分析，共6个数字图像模式识别应用实例-Introduction of digital image statistical pattern recognition, pattern recognition and realization of decision making: the test code was face detection an
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基于神经网络的手写数字识别系统，字符识别-Neural Network Based Handwritten Digit Recognition System
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神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
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手写体数字识别的VC实现
使用神经网络算法对手写体数字进行识别，训练后识别率可达90％左右。-Handwritten Digit Recognition of the VC to achieve the use of neural network algorithm for handwritten numeral recognition, training, recognition rate can reach about 90.
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本实例实现了手写数字的识别，采用联机字符识别技术，提供了1， 2 ，3 ，7， 4 几个数字的识别-The implementation of the examples of handwritten digit recognition, the use of online character recognition technology to provide the 1，2,3，7，4 figure some of the identification
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手写数字的识别系统，通过实际开发后，得到更多的识别精度!-Handwritten digit recognition system, through the actual development, the identification accuracy more!
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基于Fisher判别器的的手写数字识别，对其进行了VC++的实现！-Based on Fisher Discriminant device Handwritten Digit Recognition and to carry out the implementation of the VC++!
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基于Matlab的手写数字识别
图像预处理工作的论文
(pdf格式)-Handwritten Digit Recognition Based on Matlab image pre-processing work papers (pdf format)
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基于BP神经网络的手写体数字识别程序，使用matlab开发-BP neural network based on handwritten digit recognition program, developed using matlab
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基于神经网络的手写数字识别技术研究 论文详解-Neural network-based Handwritten Digit Recognition Technology
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基于自组织神经网络（自组织特征映射）的手写数字识别原代码-Based on self-organizing neural network (SOFM) Handwritten Digit Recognition of the original code
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Handwritten digit recognition algorithm code with matlab.
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Handwriting Recognition using Kernel Discriminant Analysis.
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository.
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本程序经过本人的调试运行，能够实现对手写数字的识别，成功率达 80-After I debug this program to run, to realize the handwritten digit recognition, the success rate of 80
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用vc++编写的关于手写数字的识别的神经网络程序，能够识别，且识别率达 80-Prepared using vc++ handwritten digit recognition on the neural network program that can identify, and recognition rate 80
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手写数字识别，运用多种分类算法，vc++6.0实现-Handwritten numeral recognition, using a variety of classification algorithms, vc++6.0 to achieve
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根据数字的笔画和书写顺序两个属性开发的手写数字识别系统-According to the numbers of strokes and writing order two properties developed by handwritten numeral recognition system
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手写体数字识别matlab程序
含有100个手写字图片-Handwritten digit recognition
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手写体数字（0-9）使用MATLAB图像识别的机器学习(Handwritten digit (0-9) recognition from images using machine learning in matlab)
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