19 citations
13 papers
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…
Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space
Iulia M. Motoc, Cristina M. Noaica, Robert Badea +1
This paper analyses the set of iris codes stored or used in an iris recognition system as an f-granular space. The f-granulation is given by identifying in the iris code space the…
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…
Combined Haar-Hilbert and Log-Gabor Based Iris Encoders
Valentina E. Balas, Iulia M. Motoc, Alina Barbulescu
This chapter shows that combining Haar-Hilbert and Log-Gabor improves iris recognition performance leading to a less ambiguous biometric decision landscape in which the overlap bet…
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…
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…