A system of handwritten Chinese characters recognition based on feedback structure is constructed.
构建一种基于反馈结构的手写体汉字识别系统。
Then makes a summary of various classifiers and ensemble methods commonly used in the off-line handwritten Chinese characters recognition.
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。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
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。
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.
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。
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.
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。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
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。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
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。
A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
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。
Segmentation of off-line handwritten Chinese characters is the premise of recognition. It is most difficult to segment connected characters.
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。
The method of combining structure analysis and match is generally used for recognition of handwritten Chinese 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。
In addition, in the preprocessing stage of the recognition of non-specific handwritten Chinese manuscripts, this paper presents a simple, rapid segmentation method of Chinese characters.
另外，在非特定手写文稿识别的预处理阶段，本文提出了一种简便、快速的汉字分割方法。
This thesis mainly finishes the following work in the field of off-line handwritten Chinese characters' feature extracting and auto-recognition.
本文主要在汉字字符的特征提取和自动识别方面做了如下的工作。
The research on off-line handwritten Chinese characters machine recognition has not only important theoretical value, but also wide market prospect.
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。
Irregularity is the major characteristic of handwritten Chinese characters and the chief factor affecting recognition ratio.
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。
Similar characters are common among Chinese characters, which is a main reason for affecting the recognition rate of off -line handwritten Chinese character.
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。
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.
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.
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。
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