通过测试，本识别系统对于较规范的手写体数字的识别达到了很好的识别效果。
Recognition system in this paper has achieved a good rate of recognition in random handwritten numeral by test.
本文论述并设计实现了一个手写体数字识别系统。
This paper discusses how to design and develop a system for recognition of handwritten digits.
手写体数字识别系统用于数据信息的采集。
Handwritten numeral Recognition System is used to obtain numeral information.
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.
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.
本文建立了一个集成型神经网络手写体数字识别系统，系统主要由两部分构成，即：学习部分和识别部分。
In this paper, a handwritten digit recognition system based on integrated neural network is set up. The system was consisted of two parts: Learning part, recognition part.
针对传统的数字识别方法的复杂性和局限性，提出了基于BP神经网络的手写体数字识别系统。
To counter the complexity and limitation of traditional digital distinguish methods, Script Digital Distinguish System based on BP Neural Network is proposed.
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;
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.
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.
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