Scholarly publication
Deep learning with spectrogram image of eye movement for biometrics
Overview
This paper investigates biometric identification based on eye movements represented as spectrogram images and processed by a convolutional neural network. Experiments on the DOVES dataset examine gaze coordinates and angles, reporting approximately 65% and 73% accuracy, respectively.