Abstract: The facial expression image were segmented to form the eyebrows, eyes and mouth areas, and these areas were computed with Higher-order Local Auto-Correlations method, through which the Weighted Principal Component Analysis values of these areas were obtai

Key words: Facial expression recognition, Feature fusion, Higher-order local auto-correlations （HLAC）,Weighted principal component analysis （WPCA）