Adaptive Biometric Systems: Review and Perspectives

Paulo Henrique Pisani (1) , Abir Mhenni (2, 3) , Romain Giot (4) , Estelle Cherrier (2) , Norman Poh (5) , André C.P.L.F. de Carvalho (1) , Christophe Rosenberger (2) , Najoua Essoukri Ben Amara (6)

1 USP - Universidade de São Paulo = University of São Paulo
2 Equipe SAFE - Laboratoire GREYC - UMR6072
3 LATIS - Laboratory of Advanced Technology and Intelligent Systems
4 LaBRI - Laboratoire Bordelais de Recherche en Informatique
5 Truststamp
6 ENISo - Ecole Nationale d'Ingénieurs de Sousse

With the widespread of computing and mobile devices, authentication using biometrics has received greater attention. Although biometric systems usually provide good solutions, the recognition performance tends to be a ected over time due to changing conditions and aging of biometric data, that results in intra-class variability. Adaptive biometric systems, which adapt the biometric reference over time, have been proposed to deal with such intra-class variability. This paper provides the most up-to-date and complete discussion on adaptive biometrics systems we are aware of, including formalization, terminology, sources or variations that motivates the use of adaptation, adaptation strategies, evaluation methodology and open challenges. This eld of research is sometimes referred to as template update.

Mots clés: CCS Concepts: • Security and privacy → Biometrics; • Computing methodologies → Supervised learning; Semi-supervised learning settings; Additional Key Words and Phrases: Adaptive biometric systems; Template update; Biometric reference adapta- tion; Evaluation methodology; Template aging * Current address: Universidade Federal do ABC (UFABC); Santo André; Brazil †

Domaines: Cryptographie et sécurité [cs.CR]

Paulo Henrique Pisani, Abir Mhenni, Romain Giot, Estelle Cherrier, Norman Poh, et al.. Adaptive Biometric Systems: Review and Perspectives. ACM Computing Surveys, 2019, 1, ⟨10.1145/nnnnnnn.nnnnnnn⟩. ⟨hal-02175778⟩