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。
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.
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
现在有很多汉字和英文的联机手写识别产品问世。
Now there are many products of online handwriting recognition of Chinese characters and English characters.
这些融合策略经联机手写体汉字识别系统测试，系统性能有了较大提高。
These strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered.
在分析传统联机与脱机手写汉字识别系统基础上，本文提出了一种基于运动图像的在线手写汉字识别新方法。
On analysis of online and offline handwritten Chinese character recognition system, a video-based online handwritten Chinese character recognition Method is proposed.
本文面向手写字符序列输入信号连续识别研究，分析了汉字及联机手写文本的特点，提出并构建了手写汉字部件集。
The paper introduces a handwritten Chinese character radical set which is established oriented for the research on continuous handwritten character sequence recognition.
本文面向手写字符序列输入信号连续识别研究，分析了汉字及联机手写文本的特点，提出并构建了手写汉字部件集。
The paper introduces a handwritten Chinese character radical set which is established oriented for the research on continuous handwritten character sequence recognition.
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