An evaluation of biometrie identification approach on low-frequency eye tracking data

During the last decade many information systems started applying various biometric identification modules. This type of identification is secure and provides a real possibility to protect a system from an unapproved access. The paper presents a newly developed biometric identification approach that is suitable for many biometric signals. This work describes an evaluation of the approach on low-frequency eye tracking data that had been collected using 30Hz eye tracker as well as a MATLAB library realizing the approach that had been developed.