For time-frequency characteristics of Fractional Fourier Transform(FRFT) and Local Binary Pattern(LBP) operator have advantages in extracting texture feature,this paper proposes to combine FRFT with LBP for recognizing smile emotion.It takes the amplitude information of transformed FRFT as facial feature,fuses LBP and discriminates smile with proper classification criterion.At the same time,the overall recognition rate and smiling face recognition rate are used to express experimental results.Compared with other methods,simulation results in RML expression database show that the method is effective for smile recognition.

The combined FRFT and LBP method effectively recognizes smile emotions, outperforming other methods in the RML expression database.

Smile Face Recognition Based on Fractional Fourier Transform and Local Binary Pattern

Key Takeaway: The combined FRFT and LBP method effectively recognizes smile emotions, outperforming other methods in the RML expression database.