A syntactic method for analysis of saccadic eye movements
Pattern Recognition
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Biomedical Research
Computers in Biology and Medicine
Computer Methods and Programs in Biomedicine
A user authentication based on human reflexes using blind spot and saccade response
International Journal of Biometrics
Robust face recognition using wavelet transform and autoassociative neural network
International Journal of Biometrics
Iris recognition using multi-resolution transforms
International Journal of Biometrics
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A survey of the effects of aging on biometric identity verification
International Journal of Biometrics
A novel technique for palmprint classification and authentication
International Journal of Biometrics
Biometric identification via an oculomotor plant mathematical model
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Pattern Recognition
ECG modelling using wavelet networks: application to biometrics
International Journal of Biometrics
Fast and accurate personal identification based on iris biometric
International Journal of Biometrics
Journal of Network and Computer Applications
Robust speaker identification in the presence of car noise
International Journal of Biometrics
An effective colour feature extraction method using evolutionary computation for face recognition
International Journal of Biometrics
Face recognition using two-dimensional CCA and PLS
International Journal of Biometrics
Artificial finger detection by spectrum analysis
International Journal of Biometrics
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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Biometric verification of subjects as users of computers or other devices has mainly based on fingerprints, face, iris or other images. We developed biometric verification using eye movements to be measured with eye movement videocameras. We measured saccades using the same stimulation for each subject. Our data included signals recorded in two manners: electrooculographically from 30 subjects and with a videocamera system from additional 30 subjects. Verification tests were run with k-means clustering, linear and quadratic discriminant analysis, Naïve Bayes rule and k nearest neighbour searching. The highest accuracies were obtained with k-means clustering, discriminant analysis and Naïve Bayes rule, up to 90% and even close to 100% at their best.