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https://hdl.handle.net/123456789/1327
Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
Τίτλος: | A comprehensive survey of fingerprint presentation attack detection |
Συγγραφέας: | [EL] Καραμπίδης, Κωνσταντίνος[EN] Karampidis, Konstantinos [EL] Ρουσουλιώτης, Μηνάς[EN] Rousouliotis, Minas [EL] Λινάρδος Ευάγγελος[EN] Linardos, Euangelos [EL] Καβαλλιεράτου, Εργίνα[EN] Kavallieratou, Ergina |
Ημερομηνία: | 26/10/2021 |
Περίληψη: | Nowadays, the number of people that utilize either digital applications or machines is increasing exponentially. Therefore, trustworthy verification schemes are required to ensure security and to authenticate the identity of an individual. Since traditional passwords have become more vulnerable to attack, the need to adopt new verification schemes is now compulsory. Biometric traits have gained significant interest in this area in recent years due to their uniqueness, ease of use and development, user convenience and security. Biometric traits cannot be borrowed, stolen or forgotten like traditional passwords or RFID cards. Fingerprints represent one of the most utilized biometric factors. In contrast to popular opinion, fingerprint recognition is not an inviolable technique. Given that biometric authentication systems are now widely employed, fingerprint presentation attack detection has become crucial. In this review, we investigate fingerprint presentation attack detection by highlighting the recent advances in this field and addressing all the disadvantages of the utilization of fingerprints as a biometric authentication factor. Both hardware- and software-based state-of-the-art methods are thoroughly presented and analyzed for identifying real fingerprints from artificial ones to help researchers to design securer biometric systems. |
Γλώσσα: | Αγγλικά |
Σελίδες: | 45 |
DOI: | 10.20517/jsss.2021.07 |
EISSN: | 2694-1015 |
Θεματική κατηγορία: | [EL] Επιστήμη ηλεκτρονικών υπολογιστών[EN] Computer Science |
Λέξεις-κλειδιά: | Presentation attack detection; fingerprints; hardware- and software-based methods; biometrics; multimodal systems; multi-factor authentication |
Κάτοχος πνευματικών δικαιωμάτων: | © The Author(s) 2021. |
Όροι και προϋποθέσεις δικαιωμάτων: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Διατίθεται ανοιχτά στην τοποθεσία: | https://jsssjournal.com/article/view/4368 |
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://www.oaepublish.com/articles/jsss.2021.07 |
Ηλεκτρονική διεύθυνση περιοδικού: | https://jsssjournal.com/ |
Τίτλος πηγής δημοσίευσης: | Journal of Surveillance, Security and Safety |
Τεύχος: | 4 |
Τόμος: | 2 |
Σελίδες τεκμηρίου (στην πηγή): | 117-161 |
Σημειώσεις: | This research is co-financed by Greece and the European Union (European Social Fund - ESF) through the Operational Programme "Human Resources Development, Education and Lifelong Learning 2014-2020" in the context of the project “Creation of a Multimodal Biometric Password by using Steganography” (MIS 5050338). |
Εμφανίζεται στις συλλογές: | Ερευνητικές ομάδες |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Σελίδες | Μέγεθος | Μορφότυπος | Έκδοση | Άδεια | |
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A comprehensive survey on fingerprint presentation attack detection.pdf | Αρθρο | 45 σελίδες σελίδες | 3.58 MB | Adobe PDF | Δημοσιευμένη/του Εκδότη | Δείτε/ανοίξτε |