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@INPROCEEDINGS{Bhattacharjee_ICPR-2024_2024,
         author = {Bhattacharjee, Sushil and Geissbuhler, David and Clivaz, G. and Kotwal, Ketan and Marcel, S{\'{e}}bastien},
       projects = {Idiap, Innosuisse CANDY},
          month = dec,
          title = {Vascular Biometrics Experiments on Candy -- A New Contactless Finger-Vein Dataset},
      booktitle = {Proceedings of the International Conference on Pattern Recognition (ICPR)},
           year = {2024},
       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.}
}