This algorithm can be extended to handwritten character analysis.
该算法也可用于手写字符的分析。
A new lexicon-driven segmentation and recognition of handwritten character strings for Chinese address reading is proposed.
本文提出一种字典驱动的地址串切分算法提取信封地址中的汉字地址。
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.
提出一种应用于手写字符识别的基于梯度归一化模糊梯度特征提取方法。
Through calculating the connected components of the background area of character image, hole features of a handwritten character image can be extracted.
提出了基于等价类行程的连通域算法，通过计算字符图像背景区域连通域提取手写字符图像的孔洞特征。
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。
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。
BP neural network arithmetic is used in the handwritten numeral recognition system. In order to reflect the whole character, we use many input modes to train the networks.
将BP神经网络引入到手写数字识别中，并采用多种输入模式对不同的BP网络进行训练，从而达到全面反映数字特征的目的。
Now the system can achieve a recognition ratio of 94. 61%. The experimental result shows that the BP neural network can be used for handwritten alphanumeric character recognition successfully.
目前识别率为94.61%，实验结果表明，BP神经网络可成功地用于手写数字字符的识别问题。
A handwritten Chinese character classifying algorithm is designed based on the character feature matrix with the excellent classifying effect.
应用字符的特征矩阵设计了一个手写体汉字的分类识别算法，取得了较好的效果。
This paper is to study the recognition method of handwritten Numbers and character in online making system which based on image processing technology.
本文的主题就是研究基于图像处理技术的网上阅卷系统中手写数字及字符的识别方法。
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.
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。
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。
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。
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.
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 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。
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。
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。
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。
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。
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。
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。
In the paper, a new multiple classifiers integrated model of online recognizing natural handwritten Chinese character is presented.
本文提出一种联机识别自然手写体汉字的多分类器集成模型。
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。
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。
The width of elements and the spacing between neighboring elements in the whole handwritten Chinese character string are analyzed to guide the merging of left right elements.
对整个汉字字符串中组件的宽度和相邻组件的间距进行分析，有助于左右关系组件的合并。
The width of elements and the spacing between neighboring elements in the whole handwritten Chinese character string are analyzed to guide the merging of left right elements.
对整个汉字字符串中组件的宽度和相邻组件的间距进行分析，有助于左右关系组件的合并。
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