Biometric verification of a user based on eye movements

Abstract

The biometric verification of users of computers or other machines is usually performed with fingerprints, face, iris or palm images. Eye movements have seldom been studied for biometric verification, although in the future their use will perhaps extend from laboratory applications to integrated parts of computer interfaces. Eye movements have long been studied in medical and psychological applications. We noticed that there are differences between saccade eye movements of individuals, even in a group of young people approximately of the same age. We measured saccades from 68 subjects by performing the same stimulation for each to obtain comparable data. We tested two verification conditions: a an authenticated user vs. all other subjects and b an impostor vs. an authenticated user and others. Randomised classifications with discriminant analysis, k-d tree and k nearest neighbour searching, decision trees and the naive Bayesian rule were run, but logistic discriminant analysis produced the best results.