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  4. Fusing Iris and Periocular Region for User Verification in Head Mounted Displays
 
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2020
Conference Paper
Titel

Fusing Iris and Periocular Region for User Verification in Head Mounted Displays

Abstract
The growing popularity of Virtual Reality and Augmented Reality (VR/AR) devices in many applications also demands authentication of users. As the devices inherently capture the eye image while capturing the user interaction, the authentication can be devised using the iris and periocular recognition. While both iris and periocular data being non-ideal unlike the data captured from standard biometric sensors, the authentication performance is expected to be lower. In this work, we present and evaluate a fusion framework for improving the biometric authentication performance. Specifically, we employ score-level fusion for two independent biometric systems of iris and periocular region to avoid expensive feature-level fusion. With a detailed evaluation of three different score-level fusion after the score normalization on a dataset of 12579 images, we report the performance gain in authentication using score-level fusion for iris and periocular recognition.
Author(s)
Boutros, Fadi
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Damer, Naser
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Raja, Kiran
NTNU, Gjovik, Norway
Ramachandra, Raghavendra
NTNU, Gjovik, Norway
Kirchbuchner, Florian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kuijper, Arjan
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
FUSION 2020, 23rd International Conference on Information Fusion
Project(s)
ATHENE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Konferenz
International Conference on Information Fusion (FUSION) 2020
Thumbnail Image
DOI
10.23919/FUSION45008.2020.9190282
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • Lead Topic- Smart Cit...

  • Lead Topic- Visual Co...

  • Research Line- Comput...

  • Research Line- Human ...

  • Biometrics

  • Information fusion

  • Deep learning

  • Head mounted displays...

  • Iris recognition

  • ATHENE

  • CRISP

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