从而进一步提高了脱机手写汉字识别的正确率。
Hence, improve the correct rate of off-line handwritten Chinese character recognition.
如手写汉字识别，人脸识别，网络入侵检测等。
Such as handwritten Chinese character recognition, face recognition, network intrusion detection.
在汉字识别中的应用表明，该方法是客观有效的。
The application in recognition of Chinese characters shows that it's impersonal and effective.
本文主要研究聚类分析在手写汉字识别中的应用。
This thesis mainly studies the application of the clustering analysis in handwritten Chinese character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
汉字识别技术！
试验表明此方法较好地解决了汉字识别速度低的问题。
Experiments show that the approach can increase recognition speed comparatively.
汉字的不同笔画数与熟悉度是汉字识别中的重要影响因素。
The stroke number of Chinese character and character frequency are two important factors in children's cognition of Chinese characters.
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.
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。
I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
汉字识别中，以往的分类器设计都是以字为单位的“字分类器”。
In Chinese Character Recognition, the classifier was designed as word classifier whose classification unit is a word in the past.
实际的金融支票大写汉字识别实验结果证实所提出的算法的有效性。
The validity of algorithm is proved in the experimental result of recognition on capital Chinese characters of financial cheque.
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。
Stroke deformation is an important factor to effect the performance of the handwritten Chinese character recognition system.
但因其自身的复杂性一直被视为汉字识别领域中“最难征服的领域”。
But it has been considered the most difficult to conquer in the field of Chinese character recognition for its complexity.
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。
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
中文电子签名的认证方法研究可归属于特定人脱机手写汉字识别研究的范畴。
The research on giving verification of the electronic signature in Chinese characters belongs to the research on the verification of the special off-line handwritten Chinese characters.
手写汉字识别实验样本量巨大，使得实验无法在有限时间内在单机上运行完成。
The amount of samples in Handwritten Chinese Characters Recognition is so huge, so that experiments are impossible to be completed within limited time on only one computer.
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。
According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed.
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。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
本文提出一种识别在线手写汉字笔划的模糊属性自动机，为汉字识别打下了基础。
A fuzzy attributed automaton for on-Iine recognition of Chinese character strokes is proposed.
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。
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.
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。
Then makes a summary of various classifiers and ensemble methods commonly used in the off-line handwritten Chinese characters recognition.
总结了本文中仿人汉字识别编码方法的优点与不足，提出了研究中的几点思考与展望。
Summarize the advantage and deficiency of humanoid recognition code scheme of Chinese characters in the thesis. Proposed some thinking and prospect in studying.
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.
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 technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
通过对松驰方法的分析与改进，提出了一种基于非线性概率松驰过程的汉字识别后处理方法。
Through analysis and improvement of relaxation, a method was put forward for Chinese characters identification and post processing based on relaxation procedure of nonlinear probability.
通过对松驰方法的分析与改进，提出了一种基于非线性概率松驰过程的汉字识别后处理方法。
Through analysis and improvement of relaxation, a method was put forward for Chinese characters identification and post processing based on relaxation procedure of nonlinear probability.
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