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1)  handwritten Chinese character
手写体汉字
1.
A new method for segmenting free format handwritten Chinese characters is presented in this paper.
本文利用汉字的基本结构特征切分自由格式手写体汉字字符 ,以汉字部件作为基本要素 ,根据部件之间的位置关系进行合并形成完整的汉字图像 。
2)  handwritten Chinese characters
手写体汉字
1.
Current States and Trends of Handwritten Chinese Characters Recognition By machine;
手写体汉字机器识别技术的现状分析
2.
The experimental results show that the method has satisfactory performance for segmenting single-line free-format handwritten Chinese characters.
实验结果表明,本算法对单行自由格式手写体汉字切分可取得较好的效果。
3)  handwritten Chinese character recognition
手写体汉字识别
1.
Small Set Handwritten Chinese Character Recognition Based on Integration RBF Neural Network;
基于集成RBF神经网络的小类别手写体汉字识别系统
2.
By choosing stroke and substroke as basic components to analyse the composition regularities and deformation regularities of handwritten Chinese character, two models are presented for representing the structure for handwritten Chinese character recognition: the substroke center model and the stroke relation matrix model, as the classifying criteria and methods based on models.
针对手写体汉字识别问题,选取笔段和笔划作为基元,分析手写体汉字的组成规律和变形规律,提出了两种汉字结构模型:笔段中心点模型和笔划关系矩阵模型,以及基于模型的分类依据和识别方法。
3.
According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed.
针对手写体汉字识别过程中的特征抽取,提出了一种改进的抽取笔画平面的方法。
4)  handwritten Chinese character segmentation
手写体汉字切分
5)  handwritten Chinese characters recognition
手写体汉字识别
1.
A system of handwritten Chinese characters recognition based on feedback structure is construc- ted.
构建一种基于反馈结构的手写体汉字识别系统。
6)  offline handwritten Chinese character
脱机手写体汉字
1.
Intelligent offline handwritten Chinese character recognition based on Bayesian network;
基于贝叶斯网络的脱机手写体汉字智能识别
补充资料:手写体
1.文字或拼音字母的手写形式。区别于"印刷体"。过去印刷体与手写体差别较大。今则新字形印刷体与手写体基本上一致;手写体拼音字母亦与印刷体拼音字母渐趋一致。
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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