Biometric Identification Systems with Both Chosen and Generated Secret Keys by Allowing Correlation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Yokohama National University
2. Department of Computer and Network Engineering, the University of Electro-Communications
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E106.A/3/E106.A_2022TAP0014/_pdf
Reference29 articles.
1. [1] A.K. Jain, P. Flynn, and A. Ross, Handbook of Biometrics, New York, Springer-Verlag, 2009.
2. [2] N.A. Schmid and J.A. O'Sullivan, “Performance prediction methodology for biometric systems using a large deviations approach,” IEEE Trans. Signal Process., vol.52, no.10, pp.3036-3045, Oct. 2004. 10.1109/tsp.2004.833863
3. [3] F. Willems, T. Kalker, S. Baggen, and J.P. Linnartz, “On the capacity of a biometric identification system,” Proc. IEEE Int. Symp. Inform. Theory, Yokohama, Japan, p.82, June/July 2003. 10.1109/isit.2003.1228096
4. [4] E. Tuncel, “Capacity/storage tradeoff in high-dimensional identification systems,” IEEE Trans. Inf. Theory, vol.55, no.5, pp.2097-2016, May 2009. 10.1109/tit.2009.2016057
5. [5] E. Tuncel and D. Gündüz, “Identification and lossy reconstruction in noisy databases,” IEEE Trans. Inf. Theory, vol.60, no.2, pp.822-831, Feb. 2014. 10.1109/tit.2013.2290302
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