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.
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.
手写体汉字的识别试验验证了所给方法的有效性。
The experiments of handwritten Chinese character recognition show the effectiveness of the proposed approach.
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。
These strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered.
构建一种基于反馈结构的手写体汉字识别系统。
A system of handwritten Chinese characters recognition based on feedback structure is constructed.
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。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
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.
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。
A handwritten Chinese character classifying algorithm is designed based on the character feature matrix with the excellent classifying effect.
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。
In the paper, a new multiple classifiers integrated model of online recognizing natural handwritten Chinese character is presented.
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.
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.
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。
Experiments of handwritten legal amount recognition on Chinese check show that the fuzzy sub-stroke statistical feature proposed in this paper is more effective.
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.
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 proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.
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.
采用该特征对有限集手写体汉字进行识别，初步实验结果表明该方法十分有效。
The result of experiment shows high recognition rate which indicates that the method is very effective.
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.
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。
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.
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.
相似字的普遍存在是影响脱机手写体汉字识别率低的主要原因之一。
Similar characters are common among Chinese characters, which is a main reason for affecting the recognition rate of off -line handwritten Chinese character.
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。
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.
手写体汉字识别系统提取反映待识别手写体汉字本身的定性与定量相结合的各种全局特征信息构成该对象的多模式模态特征模型。
The system extracts kinds of global features to constitute the object's multi-modal feature model which integrates handwritten Chinese characters 'quantitative and qualitative features.
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。
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.
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.
离线手写体汉字的切分是离线汉字识别的基础，其中以粘连字体的切分最难。
The segmentation of the handwritten Chinese characters is the base of recognition, in which the division of the joining characters is the most difficult problem.
用该方法对手写体汉字作分类识别，实验结果显示，较之其它几种方法，它有更高的正确识别率。
This method is applied to classify and recognize the handwriting Chinese characters, and the experimental results show that this method is superior to the other method in terms...
脱机手写体汉字的识别不仅具有重要的理论研究价值，而且具有广阔的市场前景。
The research on off-line handwritten Chinese characters machine recognition has not only important theoretical value, but also wide market prospect.
构建一种基于反馈结构的手写体汉字识别系统。
Small Set Handwritten Chinese Character Recognition Based on Integration RBF Neural Network;
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。
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。
Off-line handwritten Chinese character recognition research has important meaning to Chinese character information processing automation and new generation computer's intelligent input.
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