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.
介绍了一种基于并行神经网络的汉字识别系统。
Introduces an Chinese character recognizing system based on parallel neural network.
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;
分析研究了微型汉字识别系统设计中的关键技术。
The key technique in design of a micro Chinese character identification system is analyzed and studied.
分析研究了微型汉字识别系统设计中的关键技术。
Chinese characters recognition is an important research field in Chinese characters cognition.
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。
The paper describes a printed Chinese character recognition system by such network.
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。
These strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered.
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。
The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.
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。
Finally, according to the proposed system design, we implement the novel 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。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
研究了粗分候选汉字集大小选定对汉字识别系统识别性能的影响，总结了汉字集大小的选定办法。
Studied how the different size of coarse candidate set influence the Chinese character recognition system's performance, and gave a conclusion on how to select the size of the candidate set.
介绍了一种基于视觉检测技术的微型汉字识别系统的设计，配合语音装置可以实现自动朗读功能；
A design of a micro Chinese character identification system based on vision detection technology is presented, which can read the Chinese character automatically;
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。
On analysis of online and offline handwritten Chinese character recognition system, a video-based online handwritten Chinese character recognition Method 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.
最后，给出了一种基于汉字图形轮廓特征的误差估计方法，并利用误差估计初步建立了一套带有反馈的汉字识别系统。
At last, a set of Chinese characters recognition system with reaction are constructed, based on and using the error estimation approach of Chinese characters Outlines feature.
本文介绍了4种常见的细化算法，并将它们应用于脱机手写体汉字识别系统中，同时比较了它们的算法复杂度和相对应的识别率。
This article introduces 4 commonly-used stroke-thinning algorithms for handwritten Chinese characters recognition. It also makes a comparison among their complexities and recognition rates.
手写体汉字识别系统提取反映待识别手写体汉字本身的定性与定量相结合的各种全局特征信息构成该对象的多模式模态特征模型。
The system extracts kinds of global features to constitute the object's multi-modal feature model which integrates handwritten Chinese characters 'quantitative and qualitative features.
针对本文的研究目的，本文对新型的汉字识别系统进行规模测试，验证本文系统的可行性，然后再根据实验结果分析本文系统的特性。
For the purpose of the research, this paper designs the tests to verify the feasibility of this system and analyze the characteristics of the system according to the experimental results.
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。
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。
In this paper, the ancient Chinese character recognition image classification system is developed. The results show that the system has high classification ability.
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