A Dynamic Biometric Authentication Algorithm for Near-Infrared Palm Vascular Patterns

Journal article (2020)

Authors

David Palma Università degli Studi di Udine
Franco Blanchini Università degli Studi di Udine
G. Giordano Università di Trento
Pier Luca Montessoro Università degli Studi di Udine
Affiliation
External organisation
Information security Dynamical system Biometric authentication Noise-rejection Vascular pattern Vein matching
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Published Date

2020

Language

English

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Abstract

In this paper we apply a novel approach to near-infrared subcutaneous palm vascular pattern authentication. The proposed method relies on a recursive algorithm based on a positive linear dynamical system whose evolution depends on the two matrices representing the vein patterns to be compared. The output of the system reaches a high value when a good matching between the two matrices is observed, otherwise it converges rapidly to zero, even in presence of noise. With respect to another algorithm we recently introduced, this approach achieves not only a better authentication performance but also a drastic reduction in terms of computation time. These improvements are demonstrated by means of extensive experiments conducted on challenging datasets.