Face image quality improvement algorithm based on adaptive adjustment of illumination and fuzzy classification
In this paper,the key technologies of face recognition system are introduced,and the research of face recognition technology under different illumination is reviewed;the current illumination preprocessing methods include wavelet-based processing,Retinex method,etc.,and the performance differences of the same illumination preprocessing method in different face test libraries are compared and analyzed;the specific preprocessing method can achieve the ideal recognition effect for the specific attribute database.An adaptive adjustment algorithm for face illumination is proposed,and a fuzzy recognition model is established for algorithm experiments to improve the accuracy of face recognition under non-ideal conditions,so as to select clear face images to improve the accuracy of face recognition in moving scenes.The accuracy of face recognition reaches 97.21%by using the design algorithm,which is worth popularizing.
万方数据
维普
