Visual attention to repeated internet images: testing the scanpath theory on the world wide web
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Proceedings of the 2008 symposium on Eye tracking research & applications
Text-independent speaker recognition using graph matching
Pattern Recognition Letters
Perceptual image retrieval using eye movements
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Use of random time-intervals (RTIs) generation for biometric verification
Pattern Recognition
A Local Outlier Detection Approach Based on Graph-Cut
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 01
A survey of graph edit distance
Pattern Analysis & Applications
Biometric identification via an oculomotor plant mathematical model
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Towards task-independent person authentication using eye movement signals
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Image ranking with implicit feedback from eye movements
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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The last few years a growing research interest has aroused in the field of biometrics, concerning the use of brain dependent characteristics generally known as behavioral features. Human eyes, often referred as the gates to the soul, can possibly comprise a rich source of idiosyncratic information which may be used for the recognition of an individual's identity. In this paper an innovative experiment and a novel processing approach for the human eye movements is implemented, ultimately aiming at the biometric segregation of individual persons. In our experiment, the subjects observe face images while their eye movements are being monitored, providing information about each participant's attention spots. The implemented method treats eye trajectories as 2-D distributions of points on the image plane. The efficiency of graph objects in the representation of structural information motivated us on the utilization of a non-parametric multivariate graph-based measure for the comparison of eye movement signals, yielding promising results at the task of identification according to behavioral characteristics of an individual.