Identification, Secrecy, Template, and Privacy-Leakage of Biometric Identification System under Noisy Enrollment

02/05/2019

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by   Vamoua Yachongka, et al.

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In this study, we investigate fundamental trade-off among identification, secrecy, template, and privacy-leakage rates in biometric identification system. Ignatenko and Willems (2010) studied this system assuming that the channel in the enrollment process of the system is noiseless. In the enrollment process, however, it is highly considerable that noise occurs when bio-data is scanned. In this paper, we impose a noisy channel in the enrollment process and characterize the capacity region of the rate tuples. The obtained result shows that this result reduces to the one given by Ignatenko and Willems (2010) and Günlü and Kramer (2018) as special cases where the enrollment channel is noiseless and there is only one user, respectively.