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Security and Accuracy of Fingerprint-Based Biometrics: A Review

Security Research Institute, Edith Cowan University, Joondalup, WA 6207, Australia
Department of Engineering, La Trobe University, Victoria 3083, Australia
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia
Author to whom correspondence should be addressed.
Symmetry 2019, 11(2), 141;
Received: 2 December 2018 / Revised: 23 January 2019 / Accepted: 23 January 2019 / Published: 28 January 2019
PDF [1737 KB, uploaded 28 January 2019]


Biometric systems are increasingly replacing traditional password- and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper. View Full-Text
Keywords: biometrics; security; template protection; recognition accuracy; latent fingerprint biometrics; security; template protection; recognition accuracy; latent fingerprint

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Yang, W.; Wang, S.; Hu, J.; Zheng, G.; Valli, C. Security and Accuracy of Fingerprint-Based Biometrics: A Review. Symmetry 2019, 11, 141.

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