An Intelligent Face Authentication System for
ATM Access
Abstract
Biometrics represent a promising approach for reliable and secure user authentication, typical authentication by using biometrics such as face, voice, finger print, Iris and hand geometry are more securely than using the regular authentication methods like PIN code or password.
Our objectives are to introduce a new face authentication system for ATM
access using the face, we consider robust face detection based on maximal rejection classifier and color segmentation algorithms, also we
consider robust face verifies based on principal component analysis algorithms, the other contribution is to present two methods the pose orientation method which improves the face recognition system, and the face regeneration method which improves corrupted face.
Keyword:
Face Authentication, color segmentation, maximal rejection classifier, principle component analysis, pose orientation and face regeneration.
An Intelligent Face Authentication System for
ATM Access
