i-com Band 18 (2019) Heft 3

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Zeitschriftenartikel
VPID: Towards Vein Pattern Identification Using Thermal Imaging
(i-com: Vol. 18, No. 3, 2019) Faltaous, Sarah; Liebers, Jonathan; Abdelrahman, Yomna; Alt, Florian; Schneegass, Stefan
Biometric authentication received considerable attention lately. The vein pattern on the back of the hand is a unique biometric that can be measured through thermal imaging. Detecting this pattern provides an implicit approach that can authenticate users while interacting. In this paper, we present the Vein-Identification system, called VPID. It consists of a vein pattern recognition pipeline and an authentication part. We implemented six different vein-based authentication approaches by combining thermal imaging and computer vision algorithms. Through a study, we show that the approaches achieve a low false-acceptance rate (“FAR”) and a low false-rejection rate (“FRR”). Our findings show that the best approach is the Hausdorff distance-difference applied in combination with a Convolutional Neural Networks (CNN) classification of stacked images.