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Auflistung nach Schlagwort "Finger vein recognition"

1 - 2 von 2
  • Konferenzbeitrag
    Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition
    (BIOSIG 2022, 2022) Tugce Arican, Raymond Veldhuis and Luuk Spreeuwers
    Finger veins are one of the emerging biometric traits attracting many researchers in biometric recognition. Despite the growing literature on finger vein recognition, little interest has been shown in the impact of acquisition devices on recognition performance due to the lack of a multisensor finger vein database. This work aims to fill this gap by creating such a database using five different acquisition devices. We then analyze their impact on finger vein recognition performance. The analysis shows two main challenges that decrease recognition performance, namely scaling between device sensors and horizontal shifts between image pairs. The findings of this research give insight into developing more robust finger vein recognition algorithms.
  • Konferenzbeitrag
    Rotation Tolerant Finger Vein Recognition using CNNs
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Promegger, Bernhard; Wimmer, Georg; Uhl, Andreas
    Finger vein recognition deals with the recognition of subjects based on their venous pattern within the fingers. The majority of the available systems acquire the vein pattern using only a single camera. Such systems are susceptible to misplacements of the finger during acquisition, in particular longitudinal finger rotation poses a severe problem. Besides some hardware based approaches that try to avoid the misplacement in the first place, there are several software based solutions to counter fight longitudinal finger rotation. All of them use classical hand-crafted features. This work presents a novel approach to make CNNs robust to longitudinal finger rotation by training CNNs using finger vein images from varying perspectives.