Abstract

In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination sources. The framework unifies the system design for different biometric modalities and its realization on face, finger and iris data is described in detail. To the best of our knowledge, the presented design is the first to employ such a diverse set of electromagnetic spectrum bands, ranging from visible to long-wave-infrared wavelengths, and is capable of acquiring large volumes of data in seconds, which enabled us to successfully conduct a series of data collection events. We also present a comprehensive analysis on the captured data using a deep-learning classifier for presentation attack detection. Our analysis follows a data-centric approach attempting to highlight the strengths and weaknesses of each spectral band at distinguishing …

Date

2021

Authors

Leonidas Spinoulas, Mohamed E Hussein, David Geissbühler, Joe Mathai, Oswin G Almeida, Guillaume Clivaz, Sébastien Marcel, Wael Abdalmageed

Journal

IEEE Sensors Journal

Volume

21

Issue

13

Pages

15022-15041

Publisher

IEEE