Ecole d'ingénieur et centre de recherche en Sciences du numérique

Biometrics systems under spoofing attack: an evaluation methodology and lessons learned

Hadid, Abdenour; Evans, Nicholas; Marcel, Sébastien; Fierrez, Julian

IEEE Signal Processing Magazine, Vol. 32, N°5, September 2015

Biometrics already form a significant component of current and emerging identification technologies. Biometrics systems aim to determine or verify the identity of an individual from their behavioural and/or biological characteristics. Despite significant progress, some biometric systems fail to meet the multitude of stringent security and robustness requirements to support their deployment in some practical scenarios. Among current concerns are vulnerabilities to spoofing, namely persons who masquerade as others in order to gain illegitimate accesses to protected data, services or facilities. While the study of spoofing, or rather anti-spoofing, has attracted growing interest in recent years, the problem is far from being solved and will require far greater attention in coming years. This tutorial article presents an introduction to spoofing and anti-spoofing research. It describes the vulnerabilities, presents an evaluation methodology for the assessment of spoofing and countermeasures, and outlines research priorities for the future.

Document Doi Bibtex

Titre:Biometrics systems under spoofing attack: an evaluation methodology and lessons learned
Département:Sécurité numérique
Eurecom ref:4621
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Bibtex: @article{EURECOM+4621, doi = {}, year = {2015}, month = {09}, title = {{B}iometrics systems under spoofing attack: an evaluation methodology and lessons learned}, author = {{H}adid, {A}bdenour and {E}vans, {N}icholas and {M}arcel, {S}{\'e}bastien and {F}ierrez, {J}ulian }, journal = {{IEEE} {S}ignal {P}rocessing {M}agazine, {V}ol. 32, {N}°5, {S}eptember 2015}, url = {} }
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