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.
本论文主要论述了联机手写蒙古文字识别技术。
This paper primarily discussed Online Handwriting Recognition methods for Mongolia words.
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.
文中提出了两种联机手写笔画识别后处理的优化方案，第一种是基于回溯策略的后处理算法，通过回溯法修正误识的笔画； 第二种称为多候选笔画组合算法。
This paper introduces a method of on-line handwritten Chinese character stroke recognition that is suited to the needs of character glyph analysis and the practical algorithm is given.
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.
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).
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。
But the results have shown that the HMM neural network can work successfully on the recognition of handwritten characters.
本文应用HMM概率模型和神经网络结合，对联机手写数字和数学符号进行识别。
We recognize on-line handwritten figure and some mathematic characters using the HMM neural networks, and achieve a better result.
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.
在手势的设计、识别和评估三个方面进行了研究，并且设计了联机手写数学公式识别和编辑中的手势集合。
We work on three sides: design, recognition and evaluation, and implement a gesture set for on-line handwritten mathematics recognition.
而早期开发的联机手写公式识别系统局限在模式识别的框架之中，用户使用起来不是很方便，并且识别率也有待进一步提高。
While the early application systems are all localized in the frame of pattern recognition, it is inconvenient to use, and recognition rate should be improved further.
而早期开发的联机手写公式识别系统局限在模式识别的框架之中，用户使用起来不是很方便，并且识别率也有待进一步提高。
While the early application systems are all localized in the frame of pattern recognition, it is inconvenient to use, and recognition rate should be improved further.
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