† University of SE Europe Lumina, Colentina 64B, 021187, Bucharest, Romania. ‡ ‘Aurel Vlaicu’ University, Bd. Revolutiei 77, 310130, Arad, Romania. † popescu.bodorin@lumina.org, ‡ valentina.balas@uav.ro !" # σ $ σ % # ! " Implementing biometric identification systems means advancing from human intuition to artificial but formally correctly biometric decisions. To be specific, when a human agent analyzes a pair of two good quality iris biometric samples (two iris images) – for example, it is easy for him to decide if the pair is a genuine or an imposter one, hence it is simple for him to have the intuition that designing a reliable artificial agent able to recognize genuine against imposter pairs should be possible. A first guess is that, as a decision system, the biometric system should be a binary one. Theoretically, in ideal conditions, it should be able to map all its legal inputs (pairs of iris templates) onto a set of two concepts and linguistic labels ‘& and ‘& whose extensions should be disjoint, since in a logically consistent iris recognition system and also in our reasoning, no imposter