8-Valent Fuzzy Logic for Iris Recognition and Biometry

TL;DR

This paper introduces an 8-valued fuzzy logic model for iris recognition that ensures logical consistency by balancing user comfort and biometric safety, formalized within an 8-valued Boolean algebra.

Contribution

It proposes a novel 8-valued fuzzy logic framework for iris recognition, ensuring system consistency and formalizing biometric understanding within an 8-valued Boolean algebra.

Findings

Fuzzy 3-valued model analyzed for completeness and consistency

Model balances user comfort and biometric safety

Formalization within an 8-valued Boolean algebra

Abstract

This paper shows that maintaining logical consistency of an iris recognition system is a matter of finding a suitable partitioning of the input space in enrollable and unenrollable pairs by negotiating the user comfort and the safety of the biometric system. In other words, consistent enrollment is mandatory in order to preserve system consistency. A fuzzy 3-valued disambiguated model of iris recognition is proposed and analyzed in terms of completeness, consistency, user comfort and biometric safety. It is also shown here that the fuzzy 3-valued model of iris recognition is hosted by an 8-valued Boolean algebra of modulo 8 integers that represents the computational formalization in which a biometric system (a software agent) can achieve the artificial understanding of iris recognition in a logically consistent manner.