With the rapid development of artificial intelligence technology

face recognition technology has been widely used in many fields. This paper mainly studies the security of authentication bypass

unauthorized access and other risks caused by the algorithm defects of face recognition technology

face feature similarity

face synthesis and other technologies. By integrating the deep learning technology based on convolutional neural network and living silent detection technology

it not only improves the performance of image voiceprint recognition

but also greatly improves the performance of living detection of face recognition

eliminate the security risks caused by algorithm defects

feature similarity and face synthesis attacks

and provide reference security protection ideas for the development of face recognition technology.