数字识别再一次成为分类学习的常见样本。
Digit recognition, once again, is a common example of classification learning.
目前，手写数字识别技术已被广泛应用。
Technology of handwritten Numbers recognition has been widely applied at present.
手写数字识别技术是近年来研究的热点。
Nowadays, handwritten digit recognition technique is researched importantly.
验证支持向量机用于手写数字识别的有效性。
Validating the effectiveness of support vector machine for handwritten digit recognition.
二辆汽车长备的附上，被他们的连续数字识别。
Two cars permanently attached, identified by their consecutive Numbers.
数字识别的代码，可以从图片中识别字母数字。
Digital identification code from the picture alphanumeric identification.
介绍光学分度头读数屏数字识别的一种简单方法。
This article presents a simple method of figure identifying for image of optical diagraph.
程式码剖析标记与数字识别项和名称并列在一起。
Profiling marks are listed with a numeric identifier and a name.
介绍了一种针对截屏图中数字信息的数字识别技术。
This paper introduces a numeral recognition technology to recognize the numeral character on screen capture image.
采用了一种基于笔道方向的手写体数字识别的方法。
The method of handwritten digit recognition based on written direction is adopted.
数字识别技术是电子出版物标准化建设的一项重要内容。
Digital identification technology is an important content of the electronic publication standardization construction.
手写体数字识别问题是模式识别领域的一个重要研究课题。
The handwritten digital recognition is an important problem of pattern recognition field.
如果你让我对交易做个简单的概括，我想说是数字识别游戏。
If you asked me to distill trading down to its simplest form, I would say that it is a pattern recognition Numbers game.
描述了单呼数字识别和连呼数字识别两种语音识别器的实现。
It describes the implementation of two speech recognisers, for isolated and connected digit recognition.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
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。
Therefore, the study of simple and efficient handwritten numeral recognition is still an important research direction.
将模糊特征提取技术与区组设计前馈网络相结合用于手写体数字识别。
Fuzzy feature extraction and block design feedforward networks are employed to recognize handwritten digits.
在传统的数字识别领域中，所采用的介质多为IC卡、射频卡、磁卡等。
In the traditional digital identification field, we often use the IC card, magnetism card and RF card as the media.
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。
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
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 presents a novel method for handwritten numeral recognition based on empirical mode decomposition.
数字串识别准确率达到81％以上，而数字识别准确率更高，达到94．4％。
This system achieved a string accuracy of81. 8%, and a digit accuracy of 94. 4…
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。
The paper proposes a method of off-line handwritten digit recognition based on principal curves.
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。
It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.
手写体数字识别网络的训练过程需耗费大量时间，训练时间的优化有着重要的意义。
For recognizing handwritten digits, the training process of the network to need to waste a great deal of time.
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。
In the image analysis, FCM clustering algorithm can be effectively used for image processing, especially for hand-written numeral recognition.
大部分数字识别的工作可以由神经网络来完成，但最近支持向量机也被证明可以在分类方面做得更好。
Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.
研究者通常将数字识别和英文字符识别放到一起研究，是因为这两者是没有本质区别的。
Researchers usually put together with the number and character study, it is because there is no essential difference between the two object.
并且该方法在保留神经网络高鲁棒性的同时，为快速准确地进行数字识别开辟了新的途径。
This method also inaugurates a new approach for quick and precise carrying through number recognition with remaining high robustness of neural network.
并且该方法在保留神经网络高鲁棒性的同时，为快速准确地进行数字识别开辟了新的途径。
This method also inaugurates a new approach for quick and precise carrying through number recognition with remaining high robustness of neural network.
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