AI RESEARCH
Enhancing Eye Movement Biometrics for User Authentication via Continuous Gaze Offset Score Fusion
arXiv CS.CV
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ArXi:2605.06810v1 Announce Type: cross Eye movement biometrics (EMB) use subject-specific gaze dynamics for user authentication and identification. Recent deep learning-based EMB systems achieve strong performance by modeling temporal eye movement behavior. However, these systems typically overlook continuous gaze offset, despite prior evidence that it contains user-discriminative information. This work examines whether continuous gaze offset can improve biometric performance when combined with existing biometric features.