SECURE AUTHENTICATION USING EYE TRACKING

Abstract

Face recognition is commonly used techniques for secure. However, available face authentication systems are vulnerable to simple spoofing attacks. We can easily spoofing, using low resolution photo representative of those commonly posted online. We can put those images in place of real user and break these secure system easily. In one project SAFE (Secure Authentication with Face and Eyes), an improved face authentication method that uses a commodity gaze tracker to input a secret. During authentication, the user must not only show her face but also gaze at a secret icon that moves across the screen. Through this way we can ensure that a real user is lively present and through eyes and gaze tracker, he/she can provide a second level of authentication after face detection. We cannot use this addition gaze tracker hardware in existing mobile/tablet phones. We will demonstrate eye tracking capability using eye pupil tracking method. Software will use eye pupil movement points as input and decide where exactly user is looking in device (Top, Bottom, Top left, Top right etc.