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

• Published in: IEEE access Vol. 8; pp. 118978 - 118988
• Main Authors: Palma, David, Blanchini, Franco, Giordano, Giulia, Montessoro, Pier Luca
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Authentication; Biometric authentication; Biometrics (access control); dynamical system; Feature extraction; Heuristic algorithms; information security; Mathematical analysis; Matrix methods; noise-rejection; Transforms; vascular pattern; vein matching; Veins
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3005460

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.