Biometric verification of subjects using saccade eye movements

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.