Face verification method and device based on Triplet Loss, computer device and storage medium

Abstract

The present invention relates to a face verification method and device based on the Triplet Loss, a computer device and a storage medium. The method comprises the steps of: based on a face verification request, obtaining a certificate photo and a figure scene photo; performing face detection, key point positioning and image preprocessing of the scene photo and the certificate photo, and obtaininga scene face image corresponding to the scene photo and a certificate face image corresponding to the certificate photo; inputting the scene face image and the certificate face image into a pre-trained convolutional neural network model used for face verification, obtaining a first feature vector, corresponding to the scene face image, output by the convolutional neural network model and a secondfeature vector, corresponding to the certificate face image, output by the convolutional neural network model; calculating a cosine distance of the first feature vector and the second feature vector;and comparing the cosine distance with a preset threshold, and determining a face verification result according to a comparison result. The reliability of face verification is improved by the method.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a face authentication method, device, computer equipment and storage medium based on Triplet Loss. Background technique [0002] Face authentication refers to comparing the photos of people and scenes collected on the spot with the ID photos in the identity information to determine whether they are the same person. The key technology of face authentication is face recognition. [0003] With the rise of deep learning technology, the related issues of face recognition continue to break through the traditional technical bottleneck, and the performance level has been greatly improved. In the research work of using deep learning to solve the problem of face recognition, there are two mainstream methods: the method based on classification learning and the method based on metric learning. Among them, the method based on classification learning mainly calculates the cl...

AI Technical Summary

Problems solved by technology

[0006] Based on this, it is necessary to provide a face authentication method, device, computer equipment and storage medium based on TripletLoss for the problem of low reliability of traditional face authentication methods

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