IEICE TRANSACTIONS on Fundamentals
Fundamental Limits of Biometric Identification System Under Noisy Enrollment
Summary :
In this study, we investigate fundamental trade-off among identification, secrecy, template, and privacy-leakage rates in biometric identification system. Ignatenko and Willems (2015) studied this system assuming that the channel in the enrollment process of the system is noiseless and they did not consider the template rate. In the enrollment process, however, it is highly considered 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 capacity region is proved by a novel technique via two auxiliary random variables, which has never been seen in previous studies. As special cases, the obtained result shows that the characterization reduces to the one given by Ignatenko and Willems (2015) where the enrollment channel is noiseless and there is no constraint on the template rate, and it also coincides with the result derived by Günlü and Kramer (2018) where there is only one individual.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.1 pp.283-294
- Publication Date
- 2021/01/01
- Publicized
- 2020/07/14
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020EAP0001
- Type of Manuscript
- PAPER
- Category
- Information Theory
Authors
Vamoua YACHONGKA
University of Electro-Communications
Hideki YAGI
University of Electro-Communications
Keyword
Latest Issue
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Vamoua YACHONGKA, Hideki YAGI, "Fundamental Limits of Biometric Identification System Under Noisy Enrollment" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 1, pp. 283-294, January 2021, doi: 10.1587/transfun.2020EAP0001.
Abstract: In this study, we investigate fundamental trade-off among identification, secrecy, template, and privacy-leakage rates in biometric identification system. Ignatenko and Willems (2015) studied this system assuming that the channel in the enrollment process of the system is noiseless and they did not consider the template rate. In the enrollment process, however, it is highly considered 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 capacity region is proved by a novel technique via two auxiliary random variables, which has never been seen in previous studies. As special cases, the obtained result shows that the characterization reduces to the one given by Ignatenko and Willems (2015) where the enrollment channel is noiseless and there is no constraint on the template rate, and it also coincides with the result derived by Günlü and Kramer (2018) where there is only one individual.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAP0001/_p
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@ARTICLE{e104-a_1_283,
author={Vamoua YACHONGKA, Hideki YAGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fundamental Limits of Biometric Identification System Under Noisy Enrollment},
year={2021},
volume={E104-A},
number={1},
pages={283-294},
abstract={In this study, we investigate fundamental trade-off among identification, secrecy, template, and privacy-leakage rates in biometric identification system. Ignatenko and Willems (2015) studied this system assuming that the channel in the enrollment process of the system is noiseless and they did not consider the template rate. In the enrollment process, however, it is highly considered 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 capacity region is proved by a novel technique via two auxiliary random variables, which has never been seen in previous studies. As special cases, the obtained result shows that the characterization reduces to the one given by Ignatenko and Willems (2015) where the enrollment channel is noiseless and there is no constraint on the template rate, and it also coincides with the result derived by Günlü and Kramer (2018) where there is only one individual.},
keywords={},
doi={10.1587/transfun.2020EAP0001},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Fundamental Limits of Biometric Identification System Under Noisy Enrollment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 283
EP - 294
AU - Vamoua YACHONGKA
AU - Hideki YAGI
PY - 2021
DO - 10.1587/transfun.2020EAP0001
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2021
AB - In this study, we investigate fundamental trade-off among identification, secrecy, template, and privacy-leakage rates in biometric identification system. Ignatenko and Willems (2015) studied this system assuming that the channel in the enrollment process of the system is noiseless and they did not consider the template rate. In the enrollment process, however, it is highly considered 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 capacity region is proved by a novel technique via two auxiliary random variables, which has never been seen in previous studies. As special cases, the obtained result shows that the characterization reduces to the one given by Ignatenko and Willems (2015) where the enrollment channel is noiseless and there is no constraint on the template rate, and it also coincides with the result derived by Günlü and Kramer (2018) where there is only one individual.
ER -
English
