Demographic Bias: A Challenge for Fingervein Recognition Systems?

Understand

Recently, concerns regarding potential biases in the underlying algorithms of many automated systems (including biometrics) have been raised.

• In this context, a biased algorithm produces statistically different outcomes for different groups of individuals based on certain (often protected by anti-discrimination legislation) attributes such as sex and age.
• While several preliminary studies investigating this matter for facial recognition algorithms do exist, said topic has not yet been addressed for vascular biometric characteristics.
• Accordingly, in this paper, several popular types of recognition algorithms are benchmarked to ascertain the matter for fingervein recognition.