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Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data

Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available commercial fingerprint capture devices struggle with non-ideal skin condition...

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Autores principales: Kirfel, Alexander, Scheer, Tobias, Jung, Norbert, Busch, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658246/
https://www.ncbi.nlm.nih.gov/pubmed/36365934
http://dx.doi.org/10.3390/s22218229
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author Kirfel, Alexander
Scheer, Tobias
Jung, Norbert
Busch, Christoph
author_facet Kirfel, Alexander
Scheer, Tobias
Jung, Norbert
Busch, Christoph
author_sort Kirfel, Alexander
collection PubMed
description Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available commercial fingerprint capture devices struggle with non-ideal skin conditions, including soft skin in infants. They are also susceptible to presentation attacks, which limits their applicability in unsupervised scenarios such as border control. Optical coherence tomography (OCT) could be a promising solution to these problems. In this work, we propose a digital signal processing chain for segmenting two complementary fingerprints from the same OCT fingertip scan: One fingerprint is captured as usual from the epidermis (“outer fingerprint”), whereas the other is taken from inside the skin, at the junction between the epidermis and the underlying dermis (“inner fingerprint”). The resulting 3D fingerprints are then converted to a conventional 2D grayscale representation from which minutiae points can be extracted using existing methods. Our approach is device-independent and has been proven to work with two different time domain OCT scanners. Using efficient GPGPU computing, it took less than a second to process an entire gigabyte of OCT data. To validate the results, we captured OCT fingerprints of 130 individual fingers and compared them with conventional 2D fingerprints of the same fingers. We found that both the outer and inner OCT fingerprints were backward compatible with conventional 2D fingerprints, with the inner fingerprint generally being less damaged and, therefore, more reliable.
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spelling pubmed-96582462022-11-15 Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data Kirfel, Alexander Scheer, Tobias Jung, Norbert Busch, Christoph Sensors (Basel) Article Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available commercial fingerprint capture devices struggle with non-ideal skin conditions, including soft skin in infants. They are also susceptible to presentation attacks, which limits their applicability in unsupervised scenarios such as border control. Optical coherence tomography (OCT) could be a promising solution to these problems. In this work, we propose a digital signal processing chain for segmenting two complementary fingerprints from the same OCT fingertip scan: One fingerprint is captured as usual from the epidermis (“outer fingerprint”), whereas the other is taken from inside the skin, at the junction between the epidermis and the underlying dermis (“inner fingerprint”). The resulting 3D fingerprints are then converted to a conventional 2D grayscale representation from which minutiae points can be extracted using existing methods. Our approach is device-independent and has been proven to work with two different time domain OCT scanners. Using efficient GPGPU computing, it took less than a second to process an entire gigabyte of OCT data. To validate the results, we captured OCT fingerprints of 130 individual fingers and compared them with conventional 2D fingerprints of the same fingers. We found that both the outer and inner OCT fingerprints were backward compatible with conventional 2D fingerprints, with the inner fingerprint generally being less damaged and, therefore, more reliable. MDPI 2022-10-27 /pmc/articles/PMC9658246/ /pubmed/36365934 http://dx.doi.org/10.3390/s22218229 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kirfel, Alexander
Scheer, Tobias
Jung, Norbert
Busch, Christoph
Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title_full Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title_fullStr Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title_full_unstemmed Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title_short Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
title_sort robust identification and segmentation of the outer skin layers in volumetric fingerprint data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658246/
https://www.ncbi.nlm.nih.gov/pubmed/36365934
http://dx.doi.org/10.3390/s22218229
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