Advancements and challenges in fingerprint presentation attack detection: a systematic literature review

被引：0
作者：
Divine Senanu Ametefe [1 ]
Suzi Seroja Sarnin [1 ]
Darmawaty Mohd Ali [1 ]
George Dzorgbenya Ametefe [2 ]
Dah John [3 ]
Norhayati Hussin [3 ]
机构：
[1] Wireless Communication Technology Group (WiCOT), College of Engineering, School of Electrical Engineering, Universiti Teknologi MARA (UiTM), Selangor, Shah Alam
[2] Department of Biotechnology, College of Science, Engineering and Technology, Osun State University, Osogbo
[3] School of Information Science, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA (UiTM), Selangor, Puncak Perdana
来源：
Neural Computing and Applications | 2025年 / 37卷 / 4期
关键词：
Access control; Automatic Fingerprint Identification System (AFIS); Fingerprint liveness detection; Presentation attack; Privacy and security; Spoofing;
D O I：
10.1007/s00521-024-10423-8
中图分类号：
学科分类号：
摘要：
In the rapidly evolving domain of biometric security, the significance of Fingerprint Presentation Attack Detection (FPAD) has become increasingly paramount, given the susceptibility of Automatic Fingerprint Identification System (AFIS) to advanced spoofing techniques. This systematic literature review (SLR), spanning from 2022 to the second quarter of 2024, delves into the intricate challenges and burgeoning opportunities within FPAD. It focuses on innovative methodologies for detecting presentation attacks, the prevalent challenges posed by spoof fabrications (including materials like silicone, gelatine, and latex), and the exploration of potential advancements in FPAD effectiveness. The comprehensive analysis, based on a rigorous review protocol, scrutinizes 40 seminal peer-reviewed articles from the IEEE Xplore and ScienceDirect databases. This exploration uncovers a diverse range of strategies in FPAD, including software-centric and hardware-assisted approaches, each bearing unique implications for security enhancement and user privacy considerations. A pivotal finding of this review is the identification of critical research gaps, particularly in the development of algorithms capable of universal detection, the system’s adaptability to novel spoofing materials, and the ethical management of biometric data. This review provides a contemporary assessment of the current state of FPAD and establishes a foundation for future research directions. It highlights the need for continuous innovation in response to the evolving sophistication of spoofing techniques and the imperative of maintaining a balance between robust security measures and user-centric design in biometric systems. This review underscores the dynamic interplay between technological advancements, the ingenuity of attackers, and the ongoing endeavour to achieve reliable, user-friendly, and ethically responsible biometric security solutions. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.
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页码：1797 / 1819
页数：22
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共 116 条
  • [31] Dixon P., A failure to do no harm india’s aadhaar biometric id program and its inability to protect privacy in relation to measures in Europe and the U.S, Health Technol, 7, 4, pp. 539-567, (2017)
  • [32] Drahansky M., Kanich O., Brezinova E., Challenges for fingerprint recognition—Spoofing, skin diseases, and environmental effects: is fingerprint recognition really so reliable and secure, Adv Comput Vis Pattern Recognit, (2017)
  • [33] Dubey R.K., Goh J., Thing V.L.L., Fingerprint liveness detection from single image using low level features and shape analysis, IEEE Trans Inf Forensics Secur, (2016)
  • [34] Engelsma J.J., Jain A.K., Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier, In: 2019 International Conference on Biometrics, ICB 2019, (2019)
  • [35] Farid F., Elkhodr M., Sabrina F., Ahamed F., Gide E., A smart biometric identity management framework for personalised IoT and cloud computing-based healthcare services, Sensors, 21, 2, (2021)
  • [36] Fei H., Huang C., Wu S., Wang Z., Jia Z., Feng J., Fingerprint presentation attack detection by region decomposition, IEEE Trans Inf Forensics Secur, 19, pp. 3974-3985, (2024)
  • [37] Fei J., Xia Z., Yu P., Xiao F., Adversarial attacks on fingerprint liveness detection, Eurasip J Imag Video Process, 2020, 1, pp. 1-11, (2020)
  • [38] Ferrari N., Context-Based Authentication and Lightweight Group Key Establishment Protocol for Iot Devices, (2019)
  • [39] Ghiani L., Hadid A., Marcialis G.L., Roli F., Fingerprint liveness detection using local texture features, IET Biom, 6, 3, pp. 224-231, (2017)
  • [40] Gona A.K., IoT-based multimodal liveness detection using the fusion of ECG and fingerprint, Int J Pervasive Comput Commun, (2022)
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