Analysis of human electrocardiogram for biometric recognition
EURASIP Journal on Advances in Signal Processing
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Face recognition using two-dimensional CCA and PLS
International Journal of Biometrics
Artificial finger detection by spectrum analysis
International Journal of Biometrics
Unveiling the biometric potential of finger-based ECG signals
Computational Intelligence and Neuroscience - Special issue on Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing
Biometric identification based on the eye movements and graph matching techniques
Pattern Recognition Letters
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure
IEEE Transactions on Image Processing
Biometric identification via eye movement scanpaths in reading
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Biometric verification of subjects using saccade eye movements
International Journal of Biometrics
Biometric verification of a subject through eye movements
Computers in Biology and Medicine
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We recently studied the application of saccadic eye movements, measured with video cameras, to biometric verification using subjects who receive identical stimulation. The properties of a subject's saccades may vary between measurements over the course of time, so to be useful as a means of biometric verification, the temporal variability of saccades should not distort verification results significantly. We investigated the effects of such variability by repeating the same test several times with the same groups of subjects. We found that temporal variability had only a minor effect on verification results when intervals were from a few hours to two months. Compared with the classification accuracies of approximately 90% of our earlier studies when measurements were run immediately one after another, our present verification accuracies were a few percent lower. In contrast, a long interval of approximately 16 months reduced the accuracies considerably. Our results indicate that reasonably short intervals between a subject's saccade measurements do not hinder verification based on them, while very long intervals between logins can pose a problem. Since most common electronic devices, such as computers and mobile phones, are used at frequent intervals, the analysis of saccadic eye movements seems to be a viable technique for enabling biometric verification.