Capture Biases in Fingerprint Systems

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.