Paper
28 March 2005 Enhancing eye-movement-based biometric identification method by using voting classifiers
Pawel Kasprowski, Jozef Ober
Author Affiliations +
Abstract
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 [17]. 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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pawel Kasprowski and Jozef Ober "Enhancing eye-movement-based biometric identification method by using voting classifiers", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603321
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Eye

Biometrics

Brain

Visualization

Cameras

Computing systems

Detection and tracking algorithms

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