Face Authentication System Associated With EEID

Education electronic identity number(EEID)solve the problem of the network real-name system management of user information protection,but a lack of update user EEID characteristic information,easy to be used by others,need to take the necessary steps to ensure seciurity actually.Therefore,aface authentication system associated with EEID is designed and implemented in this paper.The main research work of this topic is as follows.(1)the correlation mechanism between EEID and in vivo detection.The in vivo detection mechanism is designed to distinguish real people from photos,ensure the authenticity of face images collected in the face recognition process,and ensure the security of preliminary preparation work by combining EEID and identity information consistency verification(2)correlation mechanism between EEID and face modeling.The relevant image processing algorithm is adopted to preprocess the face image,the convolutional neural network nm)del is built to extract the image feature information,and the feature information and EEID are stored in the database to realize the binding of user EEID and face features.(3)the correlation mechanism between EEID and face recognitn.The fecial feature information in the database is queried according to user EEID,and the similarity between the extracted feature information and the stored and registered feature information is compared to verify the authenticity of the identity of the logged in user,thus achieving secure and reliable real-rame authentication.Establish the correlation between EEID and facial feature information,and realize the network real-name management of EEID+fecial recognition.This method not only maintains the advantages of EEID,but also adds the feature information acquisition and update of face recognition,and better realizes the login management of user real-name security.The test results of the simulated EEID system in the laboratory show that the system has a good correlation effect with face recognition,a high success rate of registration and login,and a fast response.