Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30595
Title: Person Identification Using Temporal Analysis of Facial Blood Flow
Authors: Raia, M
Stogiannopoulos, T
Mitianoudis, N
Boulgouris, NV
Keywords: biometrics;motion magnification;facial blood flow
Issue Date: 15-Nov-2024
Publisher: MDPI
Citation: Raia, M. et al. (2024) 'Person Identification Using Temporal Analysis of Facial Blood Flow', Electronics (Switzerland), 13 (22), 4499, pp. 1 - 15. doi: 10.3390/electronics13224499.
Abstract: Biometrics play an important role in modern access control and security systems. The need of novel biometrics to complement traditional biometrics has been at the forefront of research. The Facial Blood Flow (FBF) biometric trait, recently proposed by our team, is a spatio-temporal representation of facial blood flow, constructed using motion magnification from facial areas where skin is visible. Due to its design and construction, the FBF does not need information from the eyes, nose, or mouth, and, therefore, it yields a versatile biometric of great potential. In this work, we evaluate the effectiveness of novel temporal partitioning and Fast Fourier Transform-based features that capture the temporal evolution of facial blood flow. These new features, along with a “time-distributed” Convolutional Neural Network-based deep learning architecture, are experimentally shown to increase the performance of FBF-based person identification compared to our previous efforts. This study provides further evidence of FBF’s potential for use in biometric identification.
Description: Data Availability Statement: The raw data supporting the conclusions of this article will be made available by the authors on request.
URI: https://bura.brunel.ac.uk/handle/2438/30595
DOI: https://doi.org/10.3390/electronics13224499
Other Identifiers: ORCiD: Thomas Stogiannopoulos https://orcid.org/0009-0002-8649-8884
ORCiD: Nikolaos Mitianoudis https://orcid.org/0000-0003-0898-6102
ORCiD: Nikolaos V. Boulgouris https://orcid.org/0000-0002-5382-6856
4499
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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