Patent Document ID: 9898649
Application ID: 15107067
Patent Status: 1

Claim One:
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, wherein training the positive samples and negative samples of the multiple face training images to obtain the training results by the AdaBoost algorithm comprises: forming a face classifier by training of the AdaBoost algorithm, the face classifier comprising multiple levels of strong classifiers and weak classifiers forming each level of strong classifier in the multiple levels of strong classifiers, the weak classifiers consisting of the Gabor features and the POEM features, the weak classifiers comprising type parameters, position parameters, dimension parameters and direction parameters of the features, as well as threshold parameters and weight parameters which are determined according to a set goal of the face recognition rate, and the threshold parameters being configured to determine the face authentication results.