Iris recognition with 4 or 5 fuzzy sets
Nicolaie Popescu-Bodorin, Cristina M. Noaica, P. S. Penariu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In current literature, the degrading performances of iris recognition systems is put in user's responsibility (Bio metric Menagerie -BM ), or exp lained through a vague mix of t ime -related changes in bio metric pattern, its presentation and the acquisition sensor (Template Ageing-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 fu zzy 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 imposter and genuine scores is no longer statistical.