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。
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 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。
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。
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。
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。
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