Handwritten chinese character recognition based on fuzzy sub-stroke statistical feature
Lunzheng Tan · Computer Engineering and Applications Journal · 2007
The Chinese character is made up of strokes or sub-strokes.Stroke or sub-stroke feature is widely used in handwritten Chinese character recognition.A fuzzy sub-stroke extraction method is proposed to resolve the unsteadiness because of the unconstrained written fashion.First calculating the attribution feature of boundary point related to the four fuzzy sub-strokes-horizontal,vertical,left diagonal and right diagonal,then combing fuzzy mesh with fuzzy sub-stroke attribution feature of boundary points to obtain the fuzzy sub-stroke statistical feature of a Chinese character.Experiments of handwritten legal amount recognition on Chinese check show that the fuzzy sub-stroke statistical feature proposed in this paper is more effective.