activity
20112026
most cited8-Valent Fuzzy Logic for Iris Recognition and Biometry

19 citations · 99 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Neuro-Bayesian-Symbolic Residual Attention Shallow Network: Explainable Deep Learning for Cybersecurity Risk Assessment

Nicolaie Popescu-Bodorin, Madeleine Togher

We introduce the Neuro-Bayesian-Symbolic Residual Attention Shallow Network (NBS-RASN), a hybrid neural architecture for explainable cybersecurity risk assessment in open-source ec…

eess.IV2018★ 3 cited

Cross-Sensor Iris Recognition: LG4000-to-LG2200 Comparison

Nicolaie Popescu-Bodorin, Lucian Stefanita Grigore, Valentina Emilia Balas +9

Cross-sensor comparison experimental results reported here show that the procedure defined and simulated during the Cross-Sensor Comparison Competition 2013 by our team for migrati…

cs.AI2012

Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition

Cristina M. Noaica, Robert Badea, Iulia M. Motoc +3

This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated indepen…

cs.CV2012

The Biometric Menagerie - A Fuzzy and Inconsistent Concept

Nicolaie Popescu-Bodorin, Valentina E. Balas, Iulia M. Motoc

This paper proves that in iris recognition, the concepts of sheep, goats, lambs and wolves - as proposed by Doddington and Yager in the so-called Biometric Menagerie, are at most f…

cs.AI2011★ 19 cited

8-Valent Fuzzy Logic for Iris Recognition and Biometry

N. Popescu-Bodorin, V. E. Balas, I. M. Motoc

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…

cs.NE2011★ 16 cited

Iris Codes Classification Using Discriminant and Witness Directions

N. Popescu-Bodorin, V. E. Balas, I. M. Motoc

The main topic discussed in this paper is how to use intelligence for biometric decision defuzzification. A neural training model is proposed and tested here as a possible solution…