First eye movement verification and identification competition at BTAS 2012

This paper presents the results of the first eye movement verification and identification competition. The work provides background, discusses previous research, and describes the datasets and methods used in the competition. The results highlight the importance of very careful eye positional data capture to ensure meaningfulness of identification outcomes. The discussion about the metrics and scores that can assist in evaluation of the captured data quality is provided. Best identification results varied in the range from 58.6% to 97.7% depending on the dataset and methods employed for the identification. Additionally, this work discusses possible future directions of research in the eye movement-based biometrics domain.