Face comparison method and device, computer equipment and storage medium

Abstract

The invention discloses a face comparison method and device, computer equipment and a storage medium. The method comprises the steps: training a first comparison model based on a preset color image through a deep neural network, and building a twin network according to the first comparison model; respectively inputting the positive sample and the negative sample into a twin network to obtain feature vectors of the user color image and the user infrared image in the same sample; calculating a cosine similarity distance and KL divergence between the feature vectors of the two images, substituting the cosine similarity distance into a preset comparison loss function to obtain a comparison loss value, training a twin network according to the comparison loss value and the KL divergence, and obtaining a second comparison model after sample data iteration; inputting the target color image and the target infrared image into a second comparison model, and calculating and outputting a face comparison result according to the similarity, thereby solving a problem that there is a recognition difference between the color image and the infrared image in face comparison.

Description

technical field [0001] The present application relates to the technical field of face recognition, in particular to a method, device, computer equipment and storage medium for face comparison. Background technique [0002] With the development of information technology and computer technology, face recognition has become a popular research direction today, and it is widely used in scenarios such as access control and photography. Face comparison is a branch of face recognition. Its main idea is to compare the acquired user image with the registered base map. If the user image is similar to the base map, use the base map as the result of the comparison. . [0003] In related technologies, color images or infrared images are generally used for face comparison, but this is the result of the two image comparison methods being based on the same type of images. However, when the real scene is compared with the color image and the infrared image, the problem of poor recognition e...

AI Technical Summary

Problems solved by technology

However, when the real scene is compared with the color image and the infrared image, the problem of poor recognition effect will occur, which limits the usage scenarios of face comparison to a certain extent.

[0004] Aiming at the problem of recognition differences between color images and infrared images in face comparison in related technologies, no effective solution has been proposed so far

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