According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed.
针对手写体汉字识别过程中的特征抽取，提出了一种改进的抽取笔画平面的方法。
Hence, improve the correct rate of off-line handwritten Chinese character recognition.
从而进一步提高了脱机手写汉字识别的正确率。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
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。
The experiments of handwritten Chinese character recognition show the effectiveness of the proposed approach.
手写体汉字的识别试验验证了所给方法的有效性。
A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
研究了手写体汉字识别技术，采用改进BP算法进行网络训练，提高了算法的收敛速度。
A system of handwritten Chinese characters recognition based on feedback structure is constructed.
构建一种基于反馈结构的手写体汉字识别系统。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
研究了基于自适应特征融合及模块神经网络的手写体汉字识别。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
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。
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
手写数字识别和脱机手写汉字识别的实际应用验证了所提的理论和方法。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
脱机手写体汉字识别是当前模式识别领域的一个研究热点，具有广泛的应用前景。
Experiments of handwritten legal amount recognition on Chinese check show that the fuzzy sub-stroke statistical feature proposed in this paper is more effective.
银行支票手写体汉字大写金额识别的实验结果表明应用模糊子笔画统计特征能取得更好的识别效果。
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。
Then makes a summary of various classifiers and ensemble methods commonly used in the off-line handwritten Chinese characters recognition.
然后对脱机手写体汉字识别中常用的分类器以及集成方法进行了认真的学习和总结。
The paper introduces a handwritten Chinese character radical set which is established oriented for the research on continuous handwritten character sequence recognition.
本文面向手写字符序列输入信号连续识别研究，分析了汉字及联机手写文本的特点，提出并构建了手写汉字部件集。
This thesis mainly studies the application of the clustering analysis in handwritten Chinese character recognition.
本文主要研究聚类分析在手写汉字识别中的应用。
Such as handwritten Chinese character recognition, face recognition, network intrusion detection.
如手写汉字识别，人脸识别，网络入侵检测等。
Handwritten Chinese character recognition has become a research hotspot in the field of artificial intelligence and pattern recognition because of its wide range of application prospects.
手写体汉字识别的研究因其广泛的应用前景，已成为人工智能与模式识别领域中的一个研究热点。
The segmentation of unconstrained handwritten Chinese words is the key problem of handwritten Chinese words recognition. It is also the difficulty of current segmentation-recognition truss.
非限定手写汉字分割问题是手写汉字识别的关键问题，也是目前的分割-识别框架中的难点。
Off-line handwritten Chinese character recognition research has important meaning to Chinese character information processing automation and new generation computer's intelligent input.
脱机手写体汉字识别研究对汉字信息处理自动化，对开拓新一代计算机的智能输入有重要意义。
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.
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。
The method of combining structure analysis and match is generally used for recognition of handwritten Chinese characters.
在手写汉字的自动识别方面，至今普遍采用构造解析和匹配相结合的方法。
The experiment based on the handwritten legal amount on Chinese bank check shows that the method is more effective than other meshing direction features, and recognition rate has been up to 97.64%.
对银行支票图像大写金额的识别率达到97.64%，实验结果证明本文方法比其他网格方向特征更有效。
Segmentation of off-line handwritten Chinese characters is the premise of recognition. It is most difficult to segment connected characters.
离线手写汉字的切分是识别的前提，其中粘连手写汉字的切分最为困难。
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.
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。
In this paper, a approach of the handwritten Chinese character recognition, called the Natural structural analytical approach, is proposed.
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。
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。
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。
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