Adaptive Biometric Systems: Review and Perspectives

Author(s)

Pisani, Paulo Henrique ^{[1, 2, 3]} ; Mhenni, Abir ^{[4, 5, 6]} ; Giot, Romain ^[7] ; Cherrier, Estelle ^{[4, 8]} ; Poh, Norman ^[9] ; De Leon Ferreira De Carvalho, Andre Carlos Ponce ^[10] ; Rosenberger, Christophe ^{[4, 8]} ; Ben Amara, Najoua Essoukri ^[5]

Affiliation

^[1] Univ Sao Paulo, Sao Carlos, SP - Brazil

^[2] Univ Fed ABC UFABC, Santo Andre - Brazil

^[3] Univ Fed ABC, Ctr Matemat Comp & Cognicao, Av Estados 5001, BR-09210580 Santo Andre, SP - Brazil

^[4] Normandie Univ, Mont St Aignan - France

^[5] Univ Sousse, Ecole Natl Ingenieurs Sousse, LATIS, Sousse 4023 - Tunisia

^[6] Univ Tunis El Manar, Tunis - Tunisia

^[7] Univ Bordeaux, LaBRI, 351 Cours Liberat, F-33405 Talence - France

^[8] ENSICAEN, 6 Blvd Marechal Juin, CS 45053, F-14050 Caen 4 - France

^[9] Truststamp, Atlanta, GA 30308 - USA

^[10] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Ave Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil

• Document type: Review article
• Source: ACM COMPUTING SURVEYS; v. 52, n. 5 OCT 2019.
• Web of Science Citations: 0

Abstract

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 affected over time due to changing conditions and aging of biometric data, which 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 article 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 field of research is sometimes referred to as template update. (AU)

• FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
• Grantee: Francisco Louzada Neto
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
• FAPESP's process: 12/25032-0 - Biometrics in a Data Flow Context with Immune Algorithms
• Grantee: Paulo Henrique Pisani
• Support Opportunities: Scholarships in Brazil - Doctorate