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1)  handwriting exercise of Chinese character
手写练字
2)  The practice of writing
写字训练
3)  handwritten character
手写字符
1.
Through calculating the connected components of the background area of character image,hole features of a handwritten character image can be extracted.
提出了基于等价类行程的连通域算法,通过计算字符图像背景区域连通域提取手写字符图像的孔洞特征。
2.
A new way for handwritten character recognition is proposed in the paper.
提出一种基于BP神经网络的手写字符的识别方法。
3.
To overcome handwritten character pattern s instability caused by different writing styles, a novel approach is proposed in this paper.
针对在手写字符识别中 ,因于书写习惯和风格的不同 ,造成字符模式不稳定的问题 ,利用独立分量对信号重建的良好性能 ,采用独立分量分析的方法抽取字符独立特征 ,并建立字符重建模型 ;通过对重建模型的误差分析进行字符识别 ;对美国国家邮政局USPS(USPostalServicedatabase)字库中全部数字字符完整的识别实验 ,证实了算法的鲁棒性和准确
4)  handwritten Chinese characters
手写汉字
1.
Some current valid methods of segmentation of handwritten Chinese characters are analyzed.
分析目前手写汉字分割研究的几种有效方法,在此基础之上提出了针对非限定手写汉字分割的多层投影算法。
2.
This paper introduces an algorithm to extract handwritten Chinese characters contour in accordance with TrueType font format,specifically including acquiring handwritten Chinese characters outline data,ordering outline data of the contours and extracting the feature from outline data,and so on.
介绍了一种按照TrueType字库格式对手写汉字提取字形轮廓的算法,包括手写汉字轮廓数据的获取、轮廓的有序化以及轮廓字形特征点的提取等主要步骤。
5)  handwritten Chinese character
手写汉字
1.
This paper introduces an approach to recognizing on line handwritten Chinese characters,which gets ordered sequence of line segments based on the Dynamic Chinese Character Base units.
本文给出了一种基于动态汉字基元获取笔段有序序列的联机手写汉字识别方法。
6)  handwritten numeral
手写数字
1.
This paper mainly discusses the application in the handwritten numeral pattern-recognition of artificial neural network.
本文讨论了人工神经网络在手写数字识别中的应用,针对手写体数字的结构特点,采用改进的BP学习算法进行识别。
补充资料:手写
1.亲手书写。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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