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

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