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1)  hand lettering
手写字体
2)  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 。
3)  handwritten numeral
手写体数字
1.
To counter the complexity and limitation of traditional digital recognition methods,a kind of handwritten numeral recognition method based on BP neural network is proposed.
手写体数字识别是多年来的研究热点,也是字符识别中的一个特别问题。
2.
In this paper, many preprocessing ways of handwritten numeral are used.
采用了一种全新的计算拐点特征的方法,即:最小二乘拟合一次多项式算法计算手写体数字的左右拐点。
4)  handwritten digit
手写体数字
1.
Artificial Neural Network model for handwritten digit recognition based on template matching;
基于模版对比的手写体数字识别神经网络模型
2.
Handwritten Digit Recognition Method Based on Combination Features;
基于组合特征的手写体数字识别方法
3.
This paper presents the theory to recognize handwritten digits by the BP neural network,and an improved algorithm to accelerate the running speed of the network based on the analysis of the traditional BP algorithm s running speed.
本文介绍了利用BP神经网络来识别手写体数字的原理,分析了传统BP算法收敛速度较慢的原因,提出了一种提高网络收敛速度的改进算法。
5)  handwritten digits
手写体数字
1.
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
6)  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。
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