A handwritten numeral recognition, it is true!
一款手写数字识别系统，不错哦！
Structural method was employed for numeral recognition.
最后使用结构法对数字进行识别。
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。
This paper introduces a numeral recognition technology to recognize the numeral character on screen capture image.
介绍了一种针对截屏图中数字信息的数字识别技术。
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。
In the image analysis, FCM clustering algorithm can be effectively used for image processing, especially for hand-written numeral recognition.
在图像分析处理中，FCM聚类算法可以有效地用于图像处理，特别是手写数字识别中。
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。
A neural network numeral recognition method based on feature extraction and rough set feature reduction is proposed for numeral recognition of non-pointer instrument dial.
针对无指针式仪表表盘的数字识别问题，提出了一种基于特征提取和粗糙集特征约简的神经网络数字识别方法。
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。
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。
Sets and properties of explanation and numeral notes of map symbols are discussed. The recognition methods of two notes are given too.
论述了地图符号的说明注记和数字注记的集合及属性，并分别给出了这两种注记的识别方法。
This paper presents the recognition of printed zip code numerals based on the numeral left and right profiles.
本文介绍一种基于左右轮廓特征识别打印体邮政编码数字的新方法。
This paper presents the recognition of printed zip code numerals based on the numeral left and right profiles.
本文介绍一种基于左右轮廓特征识别打印体邮政编码数字的新方法。
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