Biometric recognition via texture features of eye movement trajectories in a visual searching task.

ABSTRACT: Biometric recognition technology based on eye-movement dynamics has been in development for more than ten years. Different visual tasks, feature extraction and feature recognition methods are proposed to improve the performance of eye movement biometric system. However, the correct identification and verification rates, especially in long-term experiments, as well as the effects of visual tasks and eye trackers' temporal and spatial resolution are still the foremost considerations in eye movement biometrics. With a focus on these issues, we proposed a new visual searching task for eye movement data collection and a new class of eye movement features for biometric recognition. In order to demonstrate the improvement of this visual searching task being used in eye movement biometrics, three

SUBMITTER: Li C 

PROVIDER: S-EPMC5884501 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature