A handwritten numeral recognition, it is true!
一款手写数字识别系统，不错哦！
Handwritten numeral Recognition System is used to obtain numeral information.
手写体数字识别系统用于数据信息的采集。
This paper presents a novel method for handwritten numeral recognition based on empirical mode decomposition.
将经验模型分解方法应用于手写体数字识别，提出了一种新的识别方法。
Recognition system in this paper has achieved a good rate of recognition in random handwritten numeral by test.
通过测试，本识别系统对于较规范的手写体数字的识别达到了很好的识别效果。
It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.
主要研究了手写体数字识别的特征提取方法，并提出了一种新的边界特征提取方法。
Therefore, the study of simple and efficient handwritten numeral recognition is still an important research direction.
因此，研究简单高效的手写数字识别依然是一个重要的研究方向。
I have written about MISNT handwritten numeral recognition of the source, is an improvement on the original SVM algorithm, the effect is good.
说明：自己编写的一个关于MISNT手写数字识别的源程序，是一种对原svm的改进算法，效果不错。
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
手写数字识别和脱机手写汉字识别的实际应用验证了所提的理论和方法。
Handwritten numeral recognition technology is a research hotspot in recent years, it has wide applications, but it is also a very challenging subject.
手写数字识别技术是近年来研究的热点，具有广泛的应用前景，同时也是一个非常具有挑战性的课题。
BP neural network arithmetic is used in the handwritten numeral recognition system. In order to reflect the whole character, we use many input modes to train the networks.
将BP神经网络引入到手写数字识别中，并采用多种输入模式对不同的BP网络进行训练，从而达到全面反映数字特征的目的。
Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.
手写数字识别技术是近年来研究的热点，具有广泛的应用前景，同时也是一个非常具有挑战性的课题。
Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.
手写数字识别技术是近年来研究的热点，具有广泛的应用前景，同时也是一个非常具有挑战性的课题。
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