Biometric Feature Template Security Schemes: An Overview
Keywords:
Biometrics, Security, Feature Template, Biometric-based application, Biometric CryptosystemsAbstract
Biometric systems are contemporary tools for human recognition, where the identity of the user is established by using his/her biological, behavioral or chemical characteristics. Biometric based systems are used to overcome many challenges of the traditional based systems. The important information of the biological traits of a user is stored into a database. In the recent past, it has been observed that the security of such biometric systems may be breached in many ways. In this paper, a brief review of various feature template security schemes has been presented. The presented study shows that template security scheme for a particular biometric system may not be suitable for its counterparts. Furthermore, it is revealed that the design of an efficient and accurate template security schemes for a biometric-based application satisfying all the ideal characteristics is still a challenge for the research community
References
A. K. Jain, A. Ross, and S. Pankanti, “Biometrics: A tool for information security,” IEEE Trans. Inf. Forensics Secur., vol. 1, no. 2, pp. 125–143, 2006.
N. K. Ratha, J. H. Connell, and R. M. Bolle, “An Analysis of
Minutiae Matching Strength,” Audio- Video-Based Biometric Pers. Authentication, vol. 2091, pp. 223–228, 2001.
K. Nandakumar, A. K. Jain, and A. Nagar, “Biometric template security,” EURASIP J. Adv. Signal Process., vol. 2008, 2008.
K.-Y. Chee et al., “Cancellable Speech Template via Random
Binary Orthogonal Matrices Projection Hashing,” Pattern Recognit., 2017.
D. Sadhya and S. K. Singh, “Providing robust security measures to Bloom filter based biometric template protection schemes,” Comput. Secur., vol. 67, pp. 59–72, 2017.
M. Gomez-Barrero, E. Maiorana, J. Galbally, P. Campisi, and J. Fierrez, “Multi-biometric template protection based on Homomorphic Encryption,” Pattern Recognit., vol. 67, pp. 149– 163, 2017.
A. Selwal, S. K. Gupta, and Surender, “Low overhead octet indexed template security scheme for the multi-modal
biometric system,” J. Intell. Fuzzy Syst., vol. 32, no. 5, pp. 3325– 3337, 2017.
M. H. Lim, S. Verma, G. Mai, and P. C. Yuen, “Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection,” Pattern Recognit., vol. 60, pp. 706–719, 2016.
A. Selwal, S. K. Gupta, Surender, and Anubhuti, “Template security analysis of multimodal biometric frameworks based on fingerprint and hand geometry,” Perspect. Sci., vol. 8, pp. 705– 708, 2016.
F. S. Assaad and G. Serpen, “Transformation-based Score Fusion Algorithm for Multi-modal Biometric User Authentication through Ensemble Classification,” Procedia Comput. Sci., vol. 61, pp. 410–415, 2015.
, 2012.
A.GHANY Kareem Kamal, A.Moneim Mahmood, Ghali Neveen
I., Hassanien Aboul Ella, and Hefny Heshfile, “A Symmetric BioHash Function Based On Fingerprint Minutiae And Principal
Curves Approach,” 3rd Int. Conf. Mech. Electr. Technol. ( ICMET2011), no. February 2014, 2011.
B. J. Kang and K. R. Park, “Multimodal biometric method based on vein and geometry of a single finger,” IET Comput. Vis., vol. 4, no.
, p. 209, 2010.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
