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The dark side of the face: Exploring the ultraviolet spectrum for face biometrics

 
: Samartzidis, Timotheos; Siegmund, Dirk; Gödde, Michael; Damer, Naser; Braun, Andreas; Kuijper, Arjan

:
Volltext urn:nbn:de:0011-n-4976590 (3.1 MByte PDF)
MD5 Fingerprint: b377581a4a62cb84092485074d45d6b0
Erstellt am: 5.7.2018


International Association for Pattern Recognition -IAPR-; IEEE Computer Society:
11th IAPR International Conference on Biometrics, ICB 2018 : 20th - 23rd February 2018, Gold Coast, Queensland, Australia
Gold Coast, 2018
ISBN: 978-1-5386-4285-6
8 S.
International Conference on Biometrics (ICB) <11, 2018, Gold Coast>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Guiding Theme: Digitized Work; Guiding Theme: Visual Computing as a Service; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI); biometrics; face recognition; image sensors; CRISP

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 of this feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UV spectrum. We show a method to extract the MFP features from the UV images, using the well known SURF features and compare it with other techniques. In order to proof its benefits, we use weighted score-level fusion and evaluate the 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.

: http://publica.fraunhofer.de/dokumente/N-497659.html