A method and device for generating a face recognition fusion model, relating to the technical field of face recognition. The method comprises: using two face recognition models to respectively obtain feature vectors of face images in a positive sample and in a negative sample (S110); respectively obtaining, according to the feature vectors, included angles between the feature vectors of the face images in the positive sample and in the negative sample targeted by the two face recognition models to obtain confidences corresponding to the face recognition models (S120); comparing results of the confidences of the two face recognition models to obtain a combination of weight values of the two face recognition models according to a comparison result (S130); and calculating a weight of the two face recognition models according to the combination of the weight values to determine a face recognition fusion model (S140), so as to ensure that the face recognition accuracy of the face recognition fusion model generated by using the two face recognition models is higher than the accuracy of a single face recognition model.
METHOD AND DEVICE FOR GENERATING FACE RECOGNITION FUSION MODEL