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Communication Dans Un Congrès Année : 2023

Capture Biases in Fingerprint Systems

Résumé

Fingerprint recognition is a common solution for user authentication in Cybersecurity. This paper deals with the context of the certification of fingerprint biometric systems. The increasing use of biometric systems makes their certification a mandatory step in their development to assess their behavior in a real situation use. It has been shown that certain parameters such as environmental conditions can have a significant impact on the performance of biometric systems. However, there are also non-controlled parameters that depend on the user's state such as the quality of his biometric samples. In this paper, we propose a study that explores the performance of fingerprint systems across these parameters.
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Dates et versions

hal-04176199 , version 1 (02-08-2023)

Identifiants

  • HAL Id : hal-04176199 , version 1

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Abdarahmane Wone, Joël Di Manno, Christophe Rosenberger, Christophe Charrier. Capture Biases in Fingerprint Systems. 2023 International Conference on Cyberworlds (CW), Oct 2023, Sousse (Tunisie), France. ⟨hal-04176199⟩
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