An Off-line Handwritten Chinese Character Recognition Based On Feature Extraction

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.