【作者】 欧阳应华；

【导师】 管会生；

【作者基本信息】 兰州大学 ， 计算机应用技术， 2007， 硕士

【摘要】 本文的主要研究内容为：汉字识别的原理和方法，汉字识别前的预处理，脱机手写汉字的特征提取。汉字识别的原理和方法介绍了汉字识别领域采用的一般方法和策略——基于数学特征的统计决策方法和基于结构特征的句法分析方法。汉字图像的预处理包括对识别文稿进行平滑去噪、图像二值化、倾斜校正、行字切分以及归一化。脱机手写汉字的特征提取在前两者的基础上，针对脱机手写汉字特点，找到了能充分反应手写汉字特点的三种特征并加以提取；同时提出了将汉字分解为部件来识别的观点。所提取的这些特征兼顾了提取方法的方便性和特征的稳定性，能有效地识别脱机手写汉字。更多还原

【Abstract】 The main research content of this thesis include: the basic theory and method of Chinese character recognition, the pre-work of Chinese character recognition, the feature extraction of off-line handwritten Chinese character recognition.The basic theory and method of Chinese character recognition introduces two basic thinking in the field of optic character recognition,which is statistical-decision algorithm based on math characteristic of character and structure-decomposition algorithm based on physical characteristic of character.The pre-work of Chinese character recognition introduces five steps of optic character recognition,which is getting rid of noise, image binary, image incline rectify, image incise and image standardize.The feature extraction of off-line handwritten Chinese character recognition which is based on the prior two, according to the features of handwritten Chinese characters, has found three features of handwritten Chinese characters and has extracted them. It puts forward a comprehensive viewpoint about the Chinese characters which should be separated first,then the character elements should be recognized.The features that we have found are convenient and stable,and they can recognize the handwritten Chinese characters effectively.更多还原