Iris recognition with 4 or 5 fuzzy sets

DOI

10.2991/ifsa-eusflat-15.2015.204How to use a DOI?

Keywords

Iris recognition, biometrics, fuzzy biometric menagerie, template ageing, cointension, Turing test in iris recognition.

Abstract

In current literature, the degrading performances of iris recognition systems is put in user’s responsibility (Biometric Menagerie-BM), or explained through a va-gue mix of time-related changes in biometric pattern, its presentation and the acquisition sensor (Template Age-ing-TA). Actually, BM and TA are annoying symptoms illustrating intrinsic limitations of the statistical model of iris recognition. In order to avoid such limitations, a decisional model with 4/5 fuzzy sets is defined and tested here. The novelty is that among these fuzzy sets, two (the imposter and genuine score sets) are mutually exclusive and therefore, the confusion between impos-ter and genuine scores is no longer statistical.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Nicolaie Popescu-Bodorin
AU  - Cristina M. Noaica
AU  - Patricia Penariu
PY  - 2015/06
DA  - 2015/06
TI  - Iris recognition with 4 or 5 fuzzy sets
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1438
EP  - 1445
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.204
DO  - 10.2991/ifsa-eusflat-15.2015.204
ID  - Popescu-Bodorin2015/06
ER  -