TU Darmstadt / ULB / TUbiblio

The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics

Samartzidis, Timotheos and Siegmund, Dirk and Gödde, Michael and Damer, Naser and Braun, Andreas and Kuijper, Arjan (2018):
The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics.
In: The 11th IAPR International Conference on Biometrics (ICB), Gold Coast, Australia, 20th - 23rd February 2018, DOI: 10.1109/ICB2018.2018.00036,
[Conference or Workshop Item]

Abstract

Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face biometrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin. Most MFP can be found in the faces of some people when using ultraviolet (UV) imaging. To proof the relevance ofthis feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UVspectrum. We show a method to extract the MFP features from the UV images, using the well known SURF featuresand compare it with other techniques. In order to proof itsbenefits, we use weighted score-level fusion and evaluatethe performance in an one against all comparison. As a result we observed a significant amplification of performance where traditional face recognition in the visible spectrum is extended with MFP from UV images. We conclude with a future perspective about the use of these features for future research and discuss observed issues and limitations.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Samartzidis, Timotheos and Siegmund, Dirk and Gödde, Michael and Damer, Naser and Braun, Andreas and Kuijper, Arjan
Title: The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics
Language: English
Abstract:

Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face biometrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin. Most MFP can be found in the faces of some people when using ultraviolet (UV) imaging. To proof the relevance ofthis feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UVspectrum. We show a method to extract the MFP features from the UV images, using the well known SURF featuresand compare it with other techniques. In order to proof itsbenefits, we use weighted score-level fusion and evaluatethe performance in an one against all comparison. As a result we observed a significant amplification of performance where traditional face recognition in the visible spectrum is extended with MFP from UV images. We conclude with a future perspective about the use of these features for future research and discuss observed issues and limitations.

Uncontrolled Keywords: Biometrics, Face recognition, Image sensors
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: The 11th IAPR International Conference on Biometrics (ICB)
Event Location: Gold Coast, Australia
Event Dates: 20th - 23rd February 2018
Date Deposited: 29 Aug 2019 06:22
DOI: 10.1109/ICB2018.2018.00036
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item