Image Chinese character stroke feature extraction based on wavelet transform
Zi Xingjian, Jianping Wang · Computer Engineering and Applications Journal · 2012
Based on the cognitive view of the bionic pattern recognition,from the structure mechanism of Chinese characters and human's habits of understanding it,this paper puts forward an image Chinese characters recognition method based on wavelet transform.The specific rules about image Chinese character strokes features extraction are developed.Image Chinese characters outline and strokes outline are detected with wavelet transformation.The effective strokes information is extracted and combined.Strokes or a Chinese character is generated.The simulation results prove this method can improve the accuracy and stability of the image Chinese characters stroke features extraction.It has higher recognition rate for print and normative handwritten image Chinese character.