English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We study the fundamental limits of biometric identification systems withchosen secret from an information theoretic perspective. Ignatenko and Willems(2015) characterized the capacity region of identification, secrecy, andprivacy-leakage rates of the system provided that the enrollment channel isnoiseless. In the enrollment process, however, it is highly considered thatnoise occurs when bio-data is scanned. Recently, Yachongka and Yagi (2019)characterized the capacity region of the system with generated secretconsidering noisy enrollment and template constraint. In this paper, we areinterested in characterizing the capacity region of identification, secrecy,template, and privacy-leakage rates of the system with chosen secret under thesame settings as Yachongka and Yagi (2019). As special cases, the obtainedresult shows that the characterization reduces to the one given by Ignatenkoand Willems (2015) where the enrollment channel is noiseless and there is noconstraint on the template rate, and it also coincides with the result derivedby G\"unl\"u and Kramer (2018) where there is only one individual.

Fundamental Limits of Identification System With Secret Binding Under Noisy Enrollment