Enhancing eye movement based biometric identification method by using voting classifiers

摘要

Eye movements contain a lot of information about human being. The way the eyes are moving is very complicated and eye movement patterns has been subject of studies for over 100 years. However, surprisingly, eye movement based identification is a quite new idea presented for the first time during the Biometrics' 2003 Conference in London. The method has several significant advantages: compiles behavioral and physiological properties of human body, it is difficult to forge and it is affordable - with a number of ready-to-use eye registering devices (so called eye trackers). The paper introduces the methodology and presents results of the first eye movement based authorization tests.