The model is effective when applied to the off-line handwritten recognition algorithm.
基于上述模型进行的脱机手写模式识别算法说明了其有效性。
According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed.
针对手写体汉字识别过程中的特征抽取，提出了一种改进的抽取笔画平面的方法。
This paper introduces a handwritten digit recognition system based on TMS320VC5402. The work principle is presented and the block diagram of hardware and program flow chart are given .
介绍了基于TMS320VC5402的手写数字识别系统和该系统的基本原理，给出了它的硬件原理图和软件设计程序框图。
The result of experiment shows high recognition rate, which indicates that the method can effectively classify handwritten digits and be put into practical use.
实验证明该方法有很高的识别率，能够有效地进行手写数字的分类，可以满足实际应用。
In this thesis, we present an online handwritten system for music score recognition.
本篇论文中我们提出了一个线上的乐谱手写辨识系统。
A handwritten numeral recognition, it is true!
一款手写数字识别系统，不错哦！
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。
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。
Validating the effectiveness of support vector machine for handwritten digit recognition.
验证支持向量机用于手写数字识别的有效性。
Hence, improve the correct rate of off-line handwritten Chinese character recognition.
从而进一步提高了脱机手写汉字识别的正确率。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
Most of the neural network handwritten digits recognition systems adopt a net - work with single structure.
用神经网络识别手写体数字，大多数采用的是单个的神经网络结构。
A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.
提出一种应用于手写字符识别的基于梯度归一化模糊梯度特征提取方法。
Online handwritten signature recognition is the technology by which the identity is verified via(person's) biological characteristic.
在线手写签名识别是通过人的生物特征进行身份验证的技术。
The experiments of handwritten Chinese character recognition show the effectiveness of the proposed approach.
手写体汉字的识别试验验证了所给方法的有效性。
This paper discusses how to design and develop a system for recognition of handwritten digits.
本文论述并设计实现了一个手写体数字识别系统。
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。
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。
In this paper, a multimodal error correction technique is introduced for handwritten mathematical expression recognition.
提出一种用于纠正手写数学公式识别错误的多通道技术。
A system of handwritten Chinese characters recognition based on feedback structure is constructed.
构建一种基于反馈结构的手写体汉字识别系统。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
研究了基于自适应特征融合及模块神经网络的手写体汉字识别。
Technology of handwritten Numbers recognition has been widely applied at present.
目前，手写数字识别技术已被广泛应用。
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。
Finally coarse classification and precise classification are separately carried out in handwritten digits recognition.
最后在对手写数字进行识别时，先进行粗分类再进行细分类。
But the results have shown that the HMM neural network can work successfully on the recognition of handwritten characters.
但是我们的试验结果表明，概率神经网络可以成功的用于联机手写字符的识别问题。
Nowadays, handwritten digit recognition technique is researched importantly.
手写数字识别技术是近年来研究的热点。
One of the main study in pattern recognition is handwritten digit recognition, In thispatper, we discuss multi-layered neural network used to handwritten digit recognition.
手写体数字识别是模式识别中的研究课题之一，本文对多层神经网络用于手写体数字识别进行了探讨。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
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