A real sense based multilevel security in cloud framework using face recognition and image processing
K. S. Warke, Rupali Suralkar, Snehal Pawar, Priya Sonawane, Shraddha Wani · 2017
A 3D image can be used for the authentications as it gives more accuracy. We can also use the gestures for the authentication purpose. We can add multiple authentication levels together to make system more secure and login process more reliable. In our system we are going to provide three levels of authentication i.e. 1) Text Password:- This is first level in which user has to enter the text password which is OTP. OTP will be sent to the registered email-id or at the mobile number given. With The help of AES (advance encryption standard) algorithm the data will be encrypt and store at database server. 2) Hand Gesture Recognition:-This is second level in which user has to place this hand in front of camera. So camera can detect it, select one point out of 22 points on the hand whatever pattern user make in front of camera is saved as password at user's database. 3) Face Recognition:-This is last level in which user has to place face in front of camera. So camera can detect the face and select 78 landmark points. And those points are saved at the user's database. After passing all these stages user is authenticate and can upload or download the documents of his/her choice.