Most of previous studies have been focusing on the recognition of standardized Chinese character, but only few has concerned about the recognition of handwritten Chinese character.
但以往有关汉字识别的研究都往往只针对正楷字等标准化汉字所进行的探讨，很少有或者几乎没有研究涉及对手写汉字加工机制的探究。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
The recognition experiment on HCL2000, a handwritten Chinese character database, showed that our method improved the recognition precision of whole system.
在HCL2000数据库上进行的实验表明，该方法可有效提高汉字分类器的识别率。
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。
This paper introduces a method of on-line handwritten Chinese character stroke recognition that is suited to the needs of character glyph analysis and the practical algorithm is given.
文中提出了两种联机手写笔画识别后处理的优化方案，第一种是基于回溯策略的后处理算法，通过回溯法修正误识的笔画； 第二种称为多候选笔画组合算法。
This paper introduces a method of on-line handwritten Chinese character stroke recognition that is suited to the needs of character glyph analysis and the practical algorithm is given.
文中提出了两种联机手写笔画识别后处理的优化方案，第一种是基于回溯策略的后处理算法，通过回溯法修正误识的笔画； 第二种称为多候选笔画组合算法。
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