Iris recognition with 4 or 5 fuzzy sets
Nicolaie Popescu-Bodorin, Cristina M. Noaica, Patricia Penariu
Available Online June 2015.
- 10.2991/ifsa-eusflat-15.2015.204How to use a DOI?
- Iris recognition, biometrics, fuzzy biometric menagerie, template ageing, cointension, Turing test in iris recognition.
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.
- © 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/).
Cite this article
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 -