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通过学习BP神经网络技术,对手写数字进行识别,基于结构的识别法及模板匹配法来提高识别率。-Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.
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Delphi和VB开发的手写功能,识别和联想输入的文字,手写输入法。-Handwriting Delphi and VB development, character recognition and association input, handwriting input method.
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手写Delphi和VB开发,字符识别和联想输入,手写输入法。-Handwriting Delphi and VB development, character recognition and association input, handwriting input method.
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图像识别,温度监控,毕业设计自己手写程序-Image recognition, temperature monitoring, graduation design their own handwriting program
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本程序使用python,用于进行手写字符的识别。-This project aims at solving the problem of handwriting digits recognition.
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关于手写数字的识别和手写字母的识别,有相关的程序-The recognition of handwritten digits recognition and handwriting letters, have procedures
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基于决策树的手写字符识别,动态识别输入的笔画顺序,位置等,类似于在线字符识别,具有较高的准确率。可以在QT打开。-handwriting charactor recognition based on random forests.
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手写数码(0到9)识别的神经网络框架。附有数据训练集和测试集。采用随机梯度下降的BP算法。可以修改参数,加入drop out和动量法。-Digital handwriting (0 to 9) of the neural network recognition framework. With training and test data sets. BP algorithm using stochastic gradient descent. Parameters can be modified
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用java编写的手写体数字识别,采用knn方法,识别的训练和测试对象来自mnist数据库的数据,已经将解压后文件放进去了,算法包括文件的读取,测试部分还有识别算法。 -Written by java handwriting digital recognition, using knn method to identify the training and test objects the mnist data, has been extracted after the file into t
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手写汉字变形问题是非特定人脱机手写汉字识别中的关键同题。本文从预处理的角度探讨了直接从汉字点阵图像上矫正手写变形、减小属于同一类别的不同模式之I町差异的途径,提出了一种新的非线性规一化方法。该方法同时考虑了汉字笔画像素点和背量空白像素点,汉字点阵中的所有像素点均具有笔画密度描述,且将不同的像素点赋予不同的笔画密度,笔画密度时描述具有二维性、局部性,使得笔画密度的描述更为合理,规一化后的汉字点阵中笔画的分布更加趋向均匀.实验结果证实了本文方法的有效性。-The problem of handwri
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对于自己手写的数字进行识别,效果比较不错,准确率在八成以上(recognition of handwriting numbers, with very good testing results, can successfully recognize 80 percent)
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反向传播算法与利用卷积神经网络识别手写体(Back propagation algorithm and recognition of handwriting by using convolution neural network)
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利用KNN算法识别手写数字,zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)
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基于Matlab的手写数字识别系统,准确率还行,配有GUI界面(Matlab handwriting number recognition system, accuracy is not bad, with GUI interface)
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