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.
提出了一种基于笔画的手写汉字方向分解方法。
A new stroke-based directional decomposition approach for the handwritten Chinese characters is suggested.
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.
然后利用四角结构特征对手写汉字进行粗分类。
Then, Chinese character rough classification is achieved by four corner structure features.
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.
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.
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.
手写汉字分割和多类别金融票据图像分类是实现票据自动处理的基础。
The segmentation of handwritten Chinese words and the classification of multi-sort financial notes images is the basis of implementation of notes automatic procession.
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.
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。
Segmentation of off-line handwritten Chinese characters is the premise of recognition. It is most difficult to segment connected 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 method of combining structure analysis and match is generally used for recognition of handwritten Chinese characters.
本文针对信封地址的识别，设计了一种手写汉字文本切分的协动计算方法。
In order to recognize the letter's address, we provide an algorithm for cutting handwritten text in this paper.
同时传达中的汉字是手写的汉字，手写汉字有强化汉字形象性特征的性质。
Chinese character is such a character which can express meanings and has a picturesque feature.
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.
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.
建模的目的通常有两个：一是手写汉字的表示或描述，二是手写汉字的识别。
Generally, there are two purposes to raise a model: First one is for description, second one is for recognition.
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.
本文给出了一种基于动态汉字基元获取笔段有序序列的联机手写汉字识别方法。
This paper introduces an approach to recognizing on line handwritten Chinese characters, which gets ordered sequence of line segments based on the Dynamic Chinese character base units.
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.
手写体汉字的不规整是手写汉字的一个主要特点，也是影响识别率的一个重要因素。
Irregularity is the major characteristic of handwritten Chinese characters and the chief factor affecting recognition ratio.
手写字体中心骨架线的提取是对手写汉字进行识别、加工、鉴定等操作的基础步骤。
Handwritten font center skeleton line opponent is the extraction of the identification and writing Chinese processing, the identification of the basic steps to operate.
为了对手写汉字进行书写顺序提取，提出了一种脱机手写汉字书写顺序的恢复模型。
This paper proposes a model for recovering writing order from offline handwritten Chinese character.
为解决手写汉字文本的自动切分问题，提出了一种基于动态规划的联机手写汉字分割方法。
In order to solve the problem of automatic segmentation of handwritten Chinese text, a dynamic programming-based online handwritten Chinese character segmentation method is proposed.
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).
不同soa条件下较高的检测率证实了手写汉字的可识别性，这为笔迹鉴定搭建了理论基石。
High correct response rate under different SOA level testify the handwriting can be recognized that is base theory of handwriting identification.
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。
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.
在手写汉字识别的研究中，鲜有研究者提出建立手写汉字的数学模型，本文在这方面作了一些探讨。
In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper.
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.
手写汉字中笔划、部件及其位置关系均产生较大变化，这种变化是引起手写汉字特征不稳定的主要因素。
The strokes, components and their position are changed in handwritten Chinese characters, which is the main reason of what makes the features of handwritten Chinese characters unstable.
手写汉字中笔划、部件及其位置关系均产生较大变化，这种变化是引起手写汉字特征不稳定的主要因素。
The strokes, components and their position are changed in handwritten Chinese characters, which is the main reason of what makes the features of handwritten Chinese characters unstable.
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