方法对60名青少年及47名老年健康志愿者做单音、图像及汉字结构识别视觉刺激的ERP研究。
Methods ERPs of target stimulation with tone, picture and characters of Chinese words were studied in 60 healthy adolescent volunteers and 47 healthy aging volunteers.
文中对汉字识别的结构分析法和模板配比法作了较深入的阐述。
In this, structural analytical method and matching pattern method of chinese character's recognition are penetrably disserted.
构建一种基于反馈结构的手写体汉字识别系统。
A system of handwritten Chinese characters recognition based on feedback structure is constructed.
本文提出一种对限制性手写汉字的结构识别方法。
A structural recognition method for constrained handprinted Chinese characters is proposed in this paper.
在实现结构分析法识别手写汉字时，笔划抽取是关键所在。
In developing handprinted Chinese characters recognition system by the structural approach. the stroke extraction is all important problem.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
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。
In developing the multi-fonts Chinese character recognition system by structural approach, the stroke extraction is an important problem.
该算法同时运用了基于统计特征和基于结构特征的汉字识别算法，并对以上两种算法做了适当的改进。
The algorithm is based on the multi-characteristics, it unifies and improves the algorithm based on the statistic characteristic and the algorithm based on the structure characteristics.
对于结构类似的汉字，该算法可以通过特征关系予以识别，从而提高汉字的识别率。
The characters with the similar structure information can be recognized by the characteristic relation so that the recognition performance is improved.
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。
This system was mainly designed for supporting Chinese character design and recognition.
以笔划为基元结合笔划的顺序来表示汉字的结构信息，在此基础上提出了一种手写汉字识别的匹配算法。
This paper takes stroke segment as pattern primitive to represent the structure information of Chinese character. On the basis, a new algorithm to recognize handwritten Chinese character is proposed.
由于强调了汉字整体信息和相对关系的结构特征，比较成功地把握了区分手书汉字的关键因素，汉字识别率达80％以上，效果比较理想。
Becausce we emphasized the entire information, relative relationship between components in our method, we have obtained & good effect and the rate of correct recognition for RSCC comed to 80%.
频率效应、结构方式效应的存在，而笔画效应的不显著，说明模糊汉字识别以整字识别为主。
Though frequency and structure affect Chinese Characters' identification, they have no effect on Perceptual Interference effect.
构建一种基于反馈结构的手写体汉字识别系统。
Small Set Handwritten Chinese Character Recognition Based on Integration RBF Neural Network;
脱机手写体汉字存在数量大、结构复杂以及变形多等问题，对其自动识别被公认为字符识别领域中难题之一。
Off-line handwritten Chinese character recognition is one of the most difficult problems in character recognition, for its huge quantity, complex structure and various transmutations.
本文从汉字的自然层次结构出发，提出了手写汉字识别的自然结构分析法。
In this paper, a approach of the handwritten Chinese character recognition, called the Natural structural analytical approach, is proposed.
针对传统基于开环的汉字识别系统不完全符合人类识字过程的问题，构建了一种具有反馈结构的仿人智能识别系统。
Due to the difficulty of conforming to human recognition process with traditional open loop recognition system, a simulated intelligent recognition system with feedback structure was constructed.
针对传统基于开环的汉字识别系统不完全符合人类识字过程的问题，构建了一种具有反馈结构的仿人智能识别系统。
Due to the difficulty of conforming to human recognition process with traditional open loop recognition system, a simulated intelligent recognition system with feedback structure was constructed.
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