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。
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。
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。
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。
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。
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。
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。
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 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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
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。
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。
Feature extraction is the key part of handwritten Chinese character recognition. It is found that the directional feature dug by elastic mesh is suitable for Chinese character recognition.
特征提取是手写体汉字识别的关键，目前四方向网格特征已被实验证实是一种较好的手写体汉字特征。
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。
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。
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。
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