8-Valent Fuzzy Logic for Iris Recognition and Biometry
arXiv:1111.2763 · doi:10.1109/ISCIII.2011.6069761
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.
6 pages, 2 figures, 5th IEEE Int. Symp. on Computational Intelligence and Intelligent Informatics (Floriana, Malta, September 15-17), ISBN: 978-1-4577-1861-8 (electronic), 978-1-4577-1860-1 (print), 2011
References in corpus (2)
Cited by in corpus (5)
- Iris Codes Classification Using Discriminant and Witness Directions
- The Biometric Menagerie - A Fuzzy and Inconsistent Concept
- Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space
- Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
- Combined Haar-Hilbert and Log-Gabor Based Iris Encoders