On-line handwritten signature verification is one kind of biometric identity recognition technology.
在线手写签名认证是一种基于生物特征的身份认证技术。
An on-line recognition approach for the handwritten mathematical symbols is presented.
对手写数学字符的联机识别进行了研究。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
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。
We work on three sides: design, recognition and evaluation, and implement a gesture set for on-line handwritten mathematics recognition.
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。
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。
This paper uses grid search and two-line search to select the two parameters, and combines the advantage of the two methods to the application on Handwritten English Character Recognition.
该文使用了网格搜索和双线性搜索两种方法进行参数选择，并将两者的优点综合。应用于脱机手写体英文字符识别。
The research on off-line handwritten Chinese characters machine recognition has not only important theoretical value, but also wide market prospect.
脱机手写体汉字的识别不仅具有重要的理论研究价值，而且具有广阔的市场前景。
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.
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.
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。
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