COMPUTER VISION BASED AUTHENTICATION MODEL WITH SPOOFING PROTECTION

Abstract

The paper offers an example of the implementation of a computer vision subsystem for user identification with protection against spoofing. The basic models for this subsystem were the Siamese neural network based on SqueezeNet for face recognition and the network based on ResNet for face anti-spoofing.