1. A face authentication method, comprising: acquiring multiple face training images; extracting Gabor features of the multiple face training images; extracting Pattern of Oriented Edge Magnitude (POEM) features of the multiple face training images; fusing the Gabor features of the multiple face training image and the POEM features of the multiple face training image to acquire positive samples and negative samples of the multiple face training images, wherein the positive samples are pairwise combinations of different face images of the same person in the multiple face training images, and the negative samples are pairwise combinations of face images of different persons in the multiple face training images; training the positive samples and negative samples of the multiple face training images to obtain training results by an AdaBoost algorithm; and performing face authentication by the training results.