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 [BibTeX] [Marc21]
Vascular Biometrics Experiments on Candy -- A New Contactless Finger-Vein Dataset
Type of publication: Conference paper
Citation: Bhattacharjee_ICPR_2024
Publication status: Accepted
Booktitle: Proceedings of the International Conference on Pattern Recognition (ICPR)
Year: 2024
Month: December
Location: Calcutta (India)
Abstract: The topic of finger-vein (FV) biometrics is an active and growing topic of research. Most FV systems available today rely on contact sensors that capture vein patterns of a single finger at a time. We have recently completed a project aimed at designing a contactless vein sensing platform, named sweet. In this paper we present a new FV dataset collected using sweet. The dataset includes multiple FV samples from 120 subjects, and 280 presentation attack instruments (PAI), captured in a contactless manner. Further, we present baseline FV authentication (FVA) results achieved for proposed dataset. The sweet platform is equipped to capture a sequence of images suitable for photometric-stereo (PS) reconstruction of 3D surfaces. We present a FV presentation attack detection (PAD) method based on PS reconstruction, and the corresponding baseline FV PAD results on the proposed dataset.
Keywords:
Projects Idiap
Innosuisse CANDY
Authors Bhattacharjee, Sushil
Geissbuhler, David
Clivaz, G.
Kotwal, Ketan
Marcel, Sébastien
Added by: [UNK]
Total mark: 0
Attachments
  • Bhattacharjee_ICPR_2024.pdf
Notes