A Facial Expression Recognition Algorithm Based on Local Binary Patternand Empirical Mode Decomposition

摘要

To improve the efficiency of facial expression recognition, this paper puts forward a kind of recognition algorithmbased on local binary pattern (LBP) and empirical mode decomposition (EMD). First of all, process the empiricalmode decomposition into the preprocessing facial image, and bring forward many a high frequency images instead of theoriginal image; then, divide the sub domain of the high frequency image and obtain the sub domain LBP histogram andfull face histogram; finally, identify the expression of the generated LBP histogram. Through the experiment on JAFFEdatabase, it shows that the method is effective for facial expression recognition.