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arXiv · 1906.11889

Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye

Lena A. Jäger·Silvia Makowski·Paul Prasse·Sascha Liehr·Maximilian Seidler·Tobias Scheffer
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Abstract

We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-tracking systems and engineer explicit features of these macro-movements, we develop a deep convolutional architecture that processes the raw eye-tracking signal. Compared to prior work, the network attains a lower error rate by one order of magnitude and is faster by two orders of magnitude: it identifies users accurately within seconds.

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Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer. 2019-06-20. Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye. https://doi.org/10.1007/978-3-030-46147-8_18

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