In this paper, a closed loop on-line character recognition system based on feedback information of recognition results is proposed.
文章提出了一种基于识别结果反馈信息的闭环联机字符识别系统。
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。
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。
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 shows a recognition method for wool and cashmere fiber based on the character of the spectral line.
该方法先通过光学显微镜获得羊毛与羊绒的图像，然后经过图像处理得到羊毛与羊绒的表面信息；
This paper shows a recognition method for wool and cashmere fiber based on the character of the spectral line.
该方法先通过光学显微镜获得羊毛与羊绒的图像，然后经过图像处理得到羊毛与羊绒的表面信息；
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