The paper describes a printed Chinese character recognition system by such network.
本文描述了采用这种网络模型实现的印刷体汉字识别系统。
Finally, according to the proposed system design, we implement the novel Chinese character recognition system.
最后，根据提出的系统设计方案，本文实现了这个新型的汉字识别系统。
Stroke deformation is an important factor to effect the performance of the handwritten Chinese character recognition system.
手写体汉字书写变形是手写体汉字识别预处理阶段的重要问题之一。
In developing the multi-fonts Chinese character recognition system by structural approach, the stroke extraction is an important problem.
在实现结构分析法识别多字体印刷汉字时，笔划抽取是关键所在。
The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.
提出的脱机手写体汉字识别系统主要研究特征提取和分类识别两个模块。
These strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered.
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。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
并利用训练后得到的网络作为分类器设计并实现了一种多级策略的汉字识别系统。
On analysis of online and offline handwritten Chinese character recognition system, a video-based online handwritten Chinese character recognition Method is proposed.
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。
This paper provides a knowledge guide online cursive Chinese character recognition system, where both static shape forming knowledge and dynamic writing are utilized.
研究一种识别联机自然手写汉字的方法，充分利用汉字知识，构造联机汉字的知识框架，在专门知识引导下识别自然手写汉字。
Tibetan character recognition is a significant module of Chinese multi language information processing system, however hardly any research work has been undertaken yet.
藏文字符识别系统是中文多文种信息处理系统的重要组成部分，但至今国内外的研究基本处于空白。
This system was mainly designed for supporting Chinese character design and recognition.
这个属性库系统主要面向字形设计及结构方法的汉字模式识别。
These algorithms with a Chinese character and form recognition engine were used to finish a complete system to automatically do document processing.
综合这些技术和算法并结合文字、表格识别等模块，实现了完整的自动文档处理系统。
In this paper, the ancient Chinese character recognition image classification system is developed. The results show that the system has high classification ability.
本文开发了古汉字图像分类识别系统，应用结果表明本系统具有较高的分类识别能力。
The recognition experiment on HCL2000, a handwritten Chinese character database, showed that our method improved the recognition precision of whole system.
在HCL2000数据库上进行的实验表明，该方法可有效提高汉字分类器的识别率。
The research and development of the Pinyin-to-Chinese-Character conversion is the core technique of Chinese Input system, Chinese speech recognition and Chinese information pro- cessing.
汉语音字转换是中文键盘输入、汉语语音识别和中文信息处理的基础，也是一个非常具有挑战性的问题。
Dai Ruwei. System and Integration of Chinese Character Recognition. Hangzhou: Zhejiang Science and Technology Press, 1998.
戴汝为。汉字识别的系统与集成。杭州：浙江科学技术出版社，1998。
Dai Ruwei. System and Integration of Chinese Character Recognition. Hangzhou: Zhejiang Science and Technology Press, 1998.
戴汝为。汉字识别的系统与集成。杭州：浙江科学技术出版社，1998。
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