Immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computing

The Internet deconstructs and reshapes the traditional classroom organization, the status of teachers, the authority of teaching materials and the role of students. Online Ideological and political education with the help of the Internet has become an inevitable trend of Ideological and political education. Mobile edge computing solves the high delay barrier when traditional cloud computing center provides services. It is a new technology with wide application prospects, which provides convenience for online education. At the network edge, the mobile edge computing service network can be established due to the deployment of small base stations. Mobile users can upload and migrate some computing intensive or delay sensitive tasks to the currently connected small base station, and then the mobile edge computing network uses the hardware resources on the small base station to assist users in processing such tasks. Face verification technology can be widely used in access control, attendance, government convenience services and other occasions that need identity verification. Hence, this paper proposes the immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computing. We use the combined technologies to construct the efficient model. The proposed framework is validated compared with the other state-of-the-art methods.