59 citations · 238 across the 49 of their papers we have counts for
18 papers · 1 filter
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
Andrey Kuehlkamp, Allan Pinto, Anderson Rocha +2
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and print…
Iris Presentation Attack Detection Based on Photometric Stereo Features
Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer
We propose a new iris presentation attack detection method using three-dimensional features of an observed iris region estimated by photometric stereo. Our implementation uses a pa…
Iris recognition in cases of eye pathology
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This chapter provides insight on how iris recognition, one of the leading biometric identification technologies in the world, can be impacted by pathologies and illnesses present i…
Open Source Presentation Attack Detection Baseline for Iris Recognition
Joseph McGrath, Kevin W. Bowyer, Adam Czajka
This paper proposes the first, known to us, open source presentation attack detection (PAD) solution to distinguish between authentic iris images (possibly wearing clear contact le…
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For…
Cataract influence on iris recognition performance
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents the experimental study revealing weaker performance of the automatic iris recognition methods for cataract-affected eyes when compared to healthy eyes. There is…
Post-mortem Human Iris Recognition
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a unique analysis of post-mortem human iris recognition. Post-mortem human iris images were collected at the university mortuary in three sessions separated by…
Assessment of iris recognition reliability for eyes affected by ocular pathologies
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents an analysis of how the iris recognition is impacted by eye diseases and an appropriate dataset comprising 2996 iris images of 230 distinct eyes (including 184 i…
Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents the most comprehensive analysis of iris recognition reliability in the occurrence of various biological processes happening naturally and pathologically in the…
Human Iris Recognition in Post-mortem Subjects: Study and Database
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a unique study of post-mortem human iris recognition and the first known to us database of near-infrared and visible-light iris images of deceased humans collec…
Implications of Ocular Pathologies for Iris Recognition Reliability
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents an analysis of how iris recognition is influenced by eye disease and an appropriate dataset comprising 2996 images of irises taken from 230 distinct eyes (inclu…
Presentation Attack Detection for Cadaver Iris
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a deep-learning-based method for iris presentation attack detection (PAD) when iris images are obtained from deceased people. Our approach is based on the VGG-1…
Data-Driven Segmentation of Post-mortem Iris Images
Mateusz Trokielewicz, Adam Czajka
This paper presents a method for segmenting iris images obtained from the deceased subjects, by training a deep convolutional neural network (DCNN) designed for the purpose of sema…
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
Adam Czajka, Daniel Moreira, Kevin W. Bowyer +1
Binarized statistical image features (BSIF) have been successfully used for texture analysis in many computer vision tasks, including iris recognition and biometric presentation at…
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification
Daniel Moreira, Mateusz Trokielewicz, Adam Czajka +2
This paper advances the state of the art in human examination of iris images by (1) assessing the impact of different iris conditions in identity verification, and (2) introducing…
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
Post-mortem iris recognition can offer an additional forensic method of personal identification. However, in contrary to already well-established human examination of fingerprints,…
Iris Recognition After Death
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a comprehensive study of post-mortem human iris recognition carried out for 1,200 near-infrared and 1,787 visible-light samples collected from 37 deceased indiv…
Presentation Attack Detection for Iris Recognition: An Assessment of the State of the Art
Adam Czajka, Kevin W. Bowyer
Iris recognition is increasingly used in large-scale applications. As a result, presentation attack detection for iris recognition takes on fundamental importance. This survey cove…