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。
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。
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。
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。
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。
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。
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。
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。
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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