Digit recognition, once again, is a common example of classification learning.
数字识别再一次成为分类学习的常见样本。
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。
After our testing, this commodity status digit recognition system is successful.
经过测试，该商品身份数码识别系统是成功的。
The method of handwritten digit recognition based on written direction is adopted.
采用了一种基于笔道方向的手写体数字识别的方法。
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。
The properties of FSRBF net and subnet are studied by Chinese digit recognition experiments.
通过汉语语音识别实验，研究了FSRBF网及子网的特性。
The paper proposes a method of off-line handwritten digit recognition based on principal curves.
该文提出了一种基于主曲线的脱机手写数字识别方法。
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。
We try to resolve the dynamic fuzzy multi-dimensional problem on the handwritten digit recognition.
其次，利用动态模糊理论解决手写数字字符识别中的多维特征和动态模糊性问题。
It describes the implementation of two speech recognisers, for isolated and connected digit recognition.
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。
One example of this when working with digit recognition would be to create a specialized neural network that was designed to mimic the way the eye perceives data.
这方面的一个例子是，当数字识别系统工作时会创建一个专门的神经网络，用它来模拟眼睛感知数据的方法。
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.
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。
In this paper, a handwritten digit recognition system based on integrated neural network is set up. The system was consisted of two parts: Learning part, recognition part.
本文建立了一个集成型神经网络手写体数字识别系统，系统主要由两部分构成，即：学习部分和识别部分。
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。
To improve the accuracy of handwritten digit recognition, this paper applies support vectormachine to handwritten digit recognition and exploits a software system named SVM-HDR.
为了提高手写数字识别的精度，本文将支持向量机应用于手写数字识别，开发了SVM-HDR软件系统。
This paper analyse the image enhancement, the binarization, the noise abatement, the thinning, the normalization and the feature extraction on the handwritten digit recognition.
本文首先对手写数字图像的图像灰度化、二值化、去噪、细化、归一化、特征提取等预处理过程进行分析；
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。
To understand what these pieces mean, consider an optical character recognition system that scans glyphs printed on paper and converts them into three-digit decimal Numbers.
要理解这些部分的具体含义，请考虑一个光学字符识别系统，该系统扫描纸张上的符号并将它们转换为3位的十进制数。
This paper describes the three methods and gives experimental results and analysis in multi-speaker Chinese digit DHMM/VQ recognition in detail.
本文将详细介绍这三种方法，及其在多发育人汉语数字的DHMM/VQ语音识别中试验结果极及其分析。
According to the principle of pattern recognition, a digit string is presegmented into single digits, then each of the digits is recognized by using an associated method.
它首先应用模式识别原理将待识别数字串分割为单个数字，再用一种联合式方法识别每个数字。
This paper proposes a simple and rapid number recognition algorithm based on exterior contour structure characteristics of a digit validation image.
提出了一种基于数字验证码外部轮廓结构特征的简单、快速数字识别方法。
In order to solve these problems, we proposed a single feature vector recognition model based on whole time-frequency information structure of digit speech.
为了解决这些问题，我们提出了基于数字语音时频信息整体结构的单特征向量识别模型。
Study on printed digit high-speed recognition image processing system of machine parts used in automated product line is introduced.
介绍用于自动生产线上零件打印数字编号自动识别的高速实时图像处理系统的研制。
A higher recognition rate is obtained when used in lip im age series of digit pronunciation from1to10.
对“1”至“10”数字发音的嘴唇图像序列进行识别，获得了较高的识别率。
The problems and challenges for improving robust Mandarin digit speech recognition at the acoustic processing stage was also discussed.
本文还讨论了在语音信号的声学处理环节提高语音识别鲁棒性的问题和方法。
Triphone models can distinguish the same digit under different contexts, so they can markedly improve the recognition rate.
三音子模型将不同上下文的同一个数字区分开来，明显提高了识别率。
Mandarin digit speech recognition system has been widely used in different regions in the past decades.
近年来汉语数字语音识别系统越来越广泛的应用于各个领域。
The recognition rate is increased when maximum mutual information estimation is applied into connected digit speech recognition.
最大互信息估计用于连接数字语音识别，识别率得到了提高。
Research work on the influence of training method in mandarin connected digit speech recognition;
介绍了利用三音子模型和基频信息提高汉语连续数字串的识别率。
Connected Digit Speech Recognition Based on Mutual Information Estimation;
快速而且连续的传递语言信息（说或写）。
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