TU Darmstadt / ULB / TUbiblio

Demographic Fairness in Biometric Systems: What Do the Experts Say?

Rathgeb, Christian ; Drozdowski, Pawel ; Frings, Dinusha C. ; Damer, Naser ; Busch, Christoph (2022)
Demographic Fairness in Biometric Systems: What Do the Experts Say?
In: IEEE Technology and Society Magazine, 41 (4)
doi: 10.1109/MTS.2022.3217700
Article, Bibliographie

Abstract

Biometric technologies [1] have become an integral component of many personal, commercial, and governmental identity management systems worldwide. Biometrics rely on highly distinctive characteristics of human beings, which make it possible for individuals to be reliably recognized using fully automated algorithms. Prominent examples of biometric characteristics used for recognition purposes are face, fingerprint, iris, and voice. Application scenarios of biometrics beyond personal devices (see [2] ) include, but are not limited to, border control (see [3] , [4] , and [5] ), forensic investigations, law enforcement (see [6] and [7] ), and national ID systems (see [8] ).

Item Type: Article
Erschienen: 2022
Creators: Rathgeb, Christian ; Drozdowski, Pawel ; Frings, Dinusha C. ; Damer, Naser ; Busch, Christoph
Type of entry: Bibliographie
Title: Demographic Fairness in Biometric Systems: What Do the Experts Say?
Language: English
Date: 8 December 2022
Publisher: IEEE
Journal or Publication Title: IEEE Technology and Society Magazine
Volume of the journal: 41
Issue Number: 4
DOI: 10.1109/MTS.2022.3217700
Abstract:

Biometric technologies [1] have become an integral component of many personal, commercial, and governmental identity management systems worldwide. Biometrics rely on highly distinctive characteristics of human beings, which make it possible for individuals to be reliably recognized using fully automated algorithms. Prominent examples of biometric characteristics used for recognition purposes are face, fingerprint, iris, and voice. Application scenarios of biometrics beyond personal devices (see [2] ) include, but are not limited to, border control (see [3] , [4] , and [5] ), forensic investigations, law enforcement (see [6] and [7] ), and national ID systems (see [8] ).

Uncontrolled Keywords: Biometrics, Bias, Fairness, User study, Machine learning
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 05 Jan 2023 13:27
Last Modified: 05 Jan 2023 13:27
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details