Facial expression recognition based on lifting wavelet and FLD

A new facial expression feature extraction method based lifting wavelet and FLD is presented.The lifting wavelet is transformed completely in time-space domain and has the multi-resolution characters,so it is advantageous in dealing with feature extraction of the image's details.The result shows that the whole character made up by the LF and HF components contains the main expression feature of the expression image.Then the Fisher linear discriminant(FLD) is used to extract features from the lifting wavelet processing images.The K-neighbor method is used for classification.Experiment shows effectively that in the JAFFE database recognition rate reaches 94.3% and recognition time only lasts 2.9s.The new methods proves to be faster and more effective.