Boutros, Fadi ; Damer, Naser ; Raja, Kiran ; Ramachandra, Raghavendra ; Kirchbuchner, Florian ; Kuijper, Arjan (2020)
Fusing Iris and Periocular Region for User Verification in Head Mounted Displays.
23rd International Conference on Information Fusion (FUSION 2020). virtual Conference (06.-09.07.)
doi: 10.23919/FUSION45008.2020.9190282
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Boutros, Fadi ; Damer, Naser ; Raja, Kiran ; Ramachandra, Raghavendra ; Kirchbuchner, Florian ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Fusing Iris and Periocular Region for User Verification in Head Mounted Displays |
| Sprache: | Englisch |
| Publikationsjahr: | 10 September 2020 |
| Verlag: | IEEE |
| Veranstaltungstitel: | 23rd International Conference on Information Fusion (FUSION 2020) |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 06.-09.07. |
| DOI: | 10.23919/FUSION45008.2020.9190282 |
| URL / URN: | https://ieeexplore.ieee.org/document/9190282 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Biometrics, Information fusion, Deep learning, Head mounted displays, Iris recognition |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 22 Sep 2020 14:13 |
| Letzte Änderung: | 22 Sep 2020 14:13 |
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