Launched in 2013, LivDet-Iris is an international competition series ope...
This paper proposes an end-to-end iris recognition method designed
speci...
With increasing interest in employing iris biometrics as a forensic tool...
This paper proposes the first known to us iris recognition methodology
d...
Subject matching performance in iris biometrics is contingent upon fast,...
This paper offers three new, open-source, deep learning-based iris
segme...
This paper proposes a method for utilizing thermal features of the hand ...
This chapter provides insight on how iris recognition, one of the leadin...
This paper delivers a new database of iris images collected in visible l...
This paper presents a study devoted to recognizing horses by means of th...
This paper presents a database of iris images collected from disease aff...
This paper presents the experimental study revealing weaker performance ...
This paper presents a unique analysis of post-mortem human iris recognit...
This paper presents an analysis of how the iris recognition is impacted ...
This paper presents the most comprehensive analysis of iris recognition
...
This paper presents a unique study of post-mortem human iris recognition...
The aim of this work is to determine how vulnerable different iris codin...
This paper presents an analysis of how iris recognition is influenced by...
This paper presents a novel database comprising representations of five
...
This paper advances the state of the art in human examination of iris im...
This paper presents a method for segmenting iris images obtained from th...
With the recent shift towards mobile computing, new challenges for biome...
This paper presents a deep-learning-based method for iris presentation a...
With post-mortem iris recognition getting increasing attention throughou...
This paper presents a comprehensive study of post-mortem human iris
reco...