Handwritten Chinese character recognition based on stroke plane and fuzzy membership
Bo Ma · Journal of Yangzhou University · 2008
Based on stroke plane extraction and dynamic meshing partition,a new method for Chinese character feature extraction is proposed.This method combines stroke plane with fuzzy membership to improve the unstable problem,which is caused by the distortion of stroke.The basic idea is to divide the Chinese character image into four different stroke planes by dynamic meshing,allocate the fuzzy membership for each meshing,then compute the weighted accumulation histogram aimed for obtaining the feature for each meshing.The experiment results on NUST603HW handwritten Chinese character database of Nanjing university of science and technology verify the effectiveness of the proposed method.