Rotation Invariant Finger Vein Recognition
Bernhard Prommegger, Andreas Uhl · 2019
Finger vein recognition deals with the identification of subjects based on its venous pattern within the fingers. The majority of the scanner devices capture a single finger from the palmar side using light transmission. Some of them are equipped with a contact surface or other structures to support in finger placement. However, these means are not able to prevent all possible types of finger misplacements, in particular longitudinal finger rotation can not be averted. It has been shown that this type of deformation causes severe problems to finger vein recognition systems. This paper proposes two new methods in which finger vein images from different perspectives are captured during enrolment and, but only one during authentication. In the first method, the authentication image is compared to all enrolment images, whereas in the second method they are linked together to form a perspective cumulative finger vein template. As the enrolled finger vein images depict the vein structure of a larger range of the finger, the longitudinal positioning of the finger during the acquisition for the biometric recognition is less critical. The experimental results confirm the applicability especially of the first approach.