Baker, S.E.[Sarah E.],
Hentz, A.[Amanda],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Degradation of iris recognition performance due to non-cosmetic
prescription contact lenses,
CVIU(114), No. 9, September 2010, pp. 1030-1044.
Elsevier DOI
1008
BibRef
Earlier:
Contact lenses: Handle with care for iris recognition,
BTAS09(1-8).
IEEE DOI
0909
Biometrics; Iris recognition; Contact lenses; Match distribution stability
BibRef
Sgroi, A.[Amanda],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Effects of dominance and laterality on iris recognition,
Biometrics12(52-58).
IEEE DOI
1207
BibRef
Chen, R.[Rui],
Lin, X.R.[Xi-Rong],
Ding, T.H.[Tian-Huai],
Liveness detection for iris recognition using multispectral images,
PRL(33), No. 12, 1 September 2012, pp. 1513-1519.
Elsevier DOI
1208
Liveness detection; Multispectral images; Conjunctival vessel
detection; Wavelet packet decomposition
BibRef
Chen, R.,
Lin, X.R.,
Ding, T.H.,
Iris segmentation for non-cooperative recognition systems,
IET-IPR(5), No. 5, 2011, pp. 448-456.
DOI Link
1108
BibRef
Bowyer, K.W.[Kevin W.],
Doyle, J.S.[James S.],
Cosmetic Contact Lenses and Iris Recognition Spoofing,
Computer(47), No. 5, May 2014, pp. 96-98.
IEEE DOI
1407
Image color analysis
BibRef
Gragnaniello, D.[Diego],
Sansone, C.[Carlo],
Verdoliva, L.[Luisa],
Iris liveness detection for mobile devices based on local descriptors,
PRL(57), No. 1, 2015, pp. 81-87.
Elsevier DOI
1505
Iris liveness detection
BibRef
Gragnaniello, D.[Diego],
Poggi, G.[Giovanni],
Sansone, C.[Carlo],
Verdoliva, L.[Luisa],
Using iris and sclera for detection and classification of contact
lenses,
PRL(82, Part 2), No. 1, 2016, pp. 251-257.
Elsevier DOI
1609
Iris liveness detection
BibRef
Rigas, I.[Ioannis],
Komogortsev, O.V.[Oleg V.],
Eye movement-driven defense against iris print-attacks,
PRL(68, Part 2), No. 1, 2015, pp. 316-326.
Elsevier DOI
1512
Eye movements
BibRef
Das, A.[Abhijit],
Pal, U.[Umapada],
Ferrer, M.A.[Miguel Angel],
Blumenstein, M.[Michael],
A framework for liveness detection for direct attacks in the visible
spectrum for multimodal ocular biometrics,
PRL(82, Part 2), No. 1, 2016, pp. 232-241.
Elsevier DOI
1609
Biometrics
BibRef
Hu, Y.[Yang],
Sirlantzis, K.[Konstantinos],
Howells, G.[Gareth],
Iris liveness detection using regional features,
PRL(82, Part 2), No. 1, 2016, pp. 242-250.
Elsevier DOI
1609
Iris liveness detection
BibRef
Czajka, A.[Adam],
Bowyer, K.W.[Kevin W.],
Presentation Attack Detection for Iris Recognition:
An Assessment of the State-of-the-Art,
Surveys(51), No. 4, August 2018, pp. Article No 86.
DOI Link
1809
BibRef
Ribeiro, E.[Eduardo],
Uhl, A.[Andreas],
Alonso-Fernandez, F.[Fernando],
Iris super-resolution using CNNs: is
photo-realism important to iris recognition?,
IET-Bio(8), No. 1, January 2019, pp. 69-78.
DOI Link
1901
BibRef
El-Din, Y.S.[Yomna Safaa],
Moustafa, M.N.[Mohamed N.],
Mahdi, H.[Hani],
Deep convolutional neural networks for face and iris presentation
attack detection: survey and case study,
IET-Bio(9), No. 5, September 2020, pp. 179-193.
DOI Link
2008
BibRef
Boyd, A.[Aidan],
Fang, Z.Y.[Zhao-Yuan],
Czajka, A.[Adam],
Bowyer, K.W.[Kevin W.],
Iris presentation attack detection: Where are we now?,
PRL(138), 2020, pp. 483-489.
Elsevier DOI
2010
Biometrics, Iris presentation attack detection, Security
BibRef
Fang, M.L.[Mei-Ling],
Damer, N.[Naser],
Boutros, F.[Fadi],
Kirchbuchner, F.[Florian],
Kuijper, A.[Arjan],
Cross-database and cross-attack Iris presentation attack detection
using micro stripes analyses,
IVC(105), 2021, pp. 104057.
Elsevier DOI
2101
Iris presentation attack detection, Cross-domain, Deep learning
BibRef
Lowe, J.[Jesse],
Derakhshani, R.[Reza],
Optokinetic response for mobile device biometric liveness assessment,
IVC(107), 2021, pp. 104107.
Elsevier DOI
2103
Biometrics, Eye movement, Ocular biometrics, Ocular kinetics,
Digital identity, Mobile device security, Liveness, Behavioral biometrics
BibRef
Choudhary, M.[Meenakshi],
Tiwari, V.[Vivek],
Venkanna, U.,
Iris Liveness Detection Using Fusion of Domain-Specific Multiple BSIF
and DenseNet Features,
Cyber(52), No. 4, April 2022, pp. 2370-2381.
IEEE DOI
2204
Iris recognition, Lenses, Iris, Feature extraction, Robustness,
Computational modeling, Protocols, Contact lens identification,
presentation attacks
BibRef
Agarwal, A.[Akshay],
Noore, A.[Afzel],
Vatsa, M.[Mayank],
Singh, R.[Richa],
Enhanced iris presentation attack detection via contraction-expansion
CNN,
PRL(159), 2022, pp. 61-69.
Elsevier DOI
2206
Iris recognition, Presentation attacks, Generalization, Countermeasures
BibRef
Luo, Z.Q.[Zheng-Quan],
Wang, Y.L.[Yun-Long],
Liu, N.[Nianfeng],
Wang, Z.[Zilei],
Combining 2D texture and 3D geometry features for Reliable iris
presentation attack detection using light field focal stack,
IET-Bio(11), No. 5, 2022, pp. 420-429.
DOI Link
2210
BibRef
Qiao, T.[Tong],
Wu, J.S.[Jia-Sheng],
Zheng, N.[Ning],
Xu, M.[Ming],
Luo, X.Y.[Xiang-Yang],
FGDNet: Fine-Grained Detection Network Towards Face Anti-Spoofing,
MultMed(25), 2023, pp. 7350-7363.
IEEE DOI
2311
BibRef
Sharma, R.[Renu],
Sony, R.[Redwan],
Ross, A.[Arun],
Investigating Weight-Perturbed Deep Neural Networks with Application
in Iris Presentation Attack Detection,
BioAttack24(1082-1091)
IEEE DOI Code:
WWW Link.
2404
Training, Sensitivity analysis, Perturbation methods,
Source coding, Artificial neural networks, Speech recognition, Object detection
BibRef
Jauhari, D.[Darshika],
Sharma, R.[Renu],
Chen, C.[Cunjian],
Sepulveda, N.[Nelson],
Ross, A.[Arun],
Iris Presentation Attack: Assessing the Impact of Combining Vanadium
Dioxide Films with Artificial Eyes,
BioAttack24(1092-1101)
IEEE DOI
2404
Vanadium, Optical imaging, Optical sensors, Optical films, Iris recognition
BibRef
Bhuiyan, R.A.[Rasel Ahmed],
Czajka, A.[Adam],
Forensic Iris Image Synthesis,
BioAttack24(1015-1023)
IEEE DOI
2404
Training, Deformable models, Deformation, Image synthesis, Forensics,
Source coding, ISO Standards
BibRef
Jain, V.[Vishi],
Agarwal, A.[Akshay],
Singh, R.[Richa],
Vatsa, M.[Mayank],
Ratha, N.[Nalini],
Robust IRIS Presentation Attack Detection Through Stochastic Filter
Noise,
ICPR22(1134-1140)
IEEE DOI
2212
Deep learning, Databases, Noise reduction, Stochastic processes,
Multitasking, Robustness
BibRef
Dhar, P.[Prithviraj],
Kumar, A.[Amit],
Kaplan, K.[Kirsten],
Gupta, K.[Khushi],
Ranjan, R.[Rakesh],
Chellappa, R.[Rama],
EyePAD++: A Distillation-based approach for joint Eye Authentication
and Presentation Attack Detection using Periocular Images,
CVPR22(20186-20195)
IEEE DOI
2210
Training, Performance evaluation, Image quality, Iris, Protocols,
Machine vision, Image edge detection, Biometrics,
Vision applications and systems
BibRef
Popescu, A.[Adrian],
Stefan, L.D.[Liviu-Daniel],
Deshayes-Chossart, J.[Jérôme],
Ionescu, B.[Bogdan],
Face Verification with Challenging Imposters and Diversified
Demographics,
WACV22(1151-1160)
IEEE DOI
2202
Ethics, Law, Face recognition, Training data, Metadata,
Performance analysis, Task analysis, Privacy and Ethics in Vision
BibRef
Sharma, R.[Renu],
Ross, A.[Arun],
Image-Level Iris Morph Attack,
ICIP21(3013-3017)
IEEE DOI
2201
Image recognition, Face recognition, Iris recognition,
Iris recognition, Morphed Images, Morph Attacks
BibRef
Yadav, S.[Shivangi],
Ross, A.[Arun],
CIT-GAN: Cyclic Image Translation Generative Adversarial Network With
Application in Iris Presentation Attack Detection,
WACV21(2411-2420)
IEEE DOI
2106
Training, Iris,
Generative adversarial networks, Generators
BibRef
Seibold, C.[Clemens],
Hilsmann, A.[Anna],
Eisert, P.[Peter],
Focused LRP: Explainable AI for Face Morphing Attack Detection,
WACVW21(88-96) Explainable and Interpretable AI
IEEE DOI
2105
Neural networks, Decision making, Logic gates, Cognition, Security
BibRef
Chen, C.J.[Cun-Jian],
Ross, A.[Arun],
An Explainable Attention-Guided Iris Presentation Attack Detector,
WACVW21(97-106) Explainable and Interpretable AI
IEEE DOI
2105
Iris, Visualization, Fuses, Detectors, Predictive models
BibRef
Sharma, R.[Renu],
Ross, A.[Arun],
Viability of Optical Coherence Tomography for Iris Presentation
Attack Detection,
ICPR21(6165-6172)
IEEE DOI
2105
Optical coherence tomography, Imaging, Deep architecture,
Pattern recognition, Iris recognition
BibRef
Gupta, M.[Mehak],
Singh, V.[Vishal],
Agarwal, A.[Akshay],
Vatsa, M.[Mayank],
Singh, R.[Richa],
Generalized Iris Presentation Attack Detection Algorithm under
Cross-Database Settings,
ICPR21(5318-5325)
IEEE DOI
2105
Training, Databases, Neural networks,
Imaging, Pattern recognition, Detection algorithms
BibRef
Yadav, S.,
Chen, C.,
Ross, A.,
Relativistic Discriminator: A One-Class Classifier for Generalized
Iris Presentation Attack Detection,
WACV20(2624-2633)
IEEE DOI
2006
Iris recognition, Generative adversarial networks, Generators,
Training, Standards, Detectors
BibRef
Czajka, A.,
Fang, Z.,
Bowyer, K.W.,
Iris Presentation Attack Detection Based on Photometric Stereo
Features,
WACV19(877-885)
IEEE DOI
1904
eye, image capture, image classification, image representation,
image sampling, image sensors, image texture, iris recognition,
Surface texture
BibRef
Yadav, D.,
Kohli, N.,
Agarwal, A.,
Vatsa, M.,
Singh, R.,
Noore, A.,
Fusion of Handcrafted and Deep Learning Features for Large-Scale
Multiple Iris Presentation Attack Detection,
Biometrics18(685-6857)
IEEE DOI
1812
Iris recognition, Iris, Databases, Lenses, Feature extraction,
Image segmentation
BibRef
Zou, H.,
Zhang, H.,
Li, X.,
Liu, J.,
He, Z.,
Generation Textured Contact Lenses Iris Images Based on 4DCycle-GAN,
ICPR18(3561-3566)
IEEE DOI
1812
Iris recognition, Databases, Lenses, Generators,
Training, Iris
BibRef
Yadav, D.,
Kohli, N.,
Vatsa, M.,
Singh, R.,
Noore, A.,
Iris Presentation Attack via Textured Contact Lens in Unconstrained
Environment,
WACV18(503-511)
IEEE DOI
1806
contact lenses, feature extraction, image sensors, image texture,
iris recognition, learning (artificial intelligence),
Smart phones
BibRef
Hoffman, S.,
Sharma, R.,
Ross, A.,
Convolutional Neural Networks for Iris Presentation Attack Detection:
Toward Cross-Dataset and Cross-Sensor Generalization,
PRIV18(1701-17018)
IEEE DOI
1812
Iris recognition, Iris, Image segmentation, Plastics, Sensors, Lenses, Hardware
BibRef
Chen, C.,
Ross, A.,
A Multi-task Convolutional Neural Network for Joint Iris Detection
and Presentation Attack Detection,
Cross-Bio18(44-51)
IEEE DOI
1806
eye, feedforward neural nets, iris recognition,
learning (artificial intelligence), object detection,
Training
BibRef
Pala, F.,
Bhanu, B.,
Iris Liveness Detection by Relative Distance Comparisons,
Biometrics17(664-671)
IEEE DOI
1709
Computer architecture, Iris recognition, Measurement, Software, Training
BibRef
Raghavendra, R.,
Raja, K.B.,
Busch, C.,
ContlensNet: Robust Iris Contact Lens Detection Using Deep
Convolutional Neural Networks,
WACV17(1160-1167)
IEEE DOI
1609
Convolution, Databases, Image segmentation, Iris, Iris recognition,
Lenses, Neural, networks
BibRef
Lovish,
Nigam, A.[Aditya],
Kumar, B.[Balender],
Gupta, P.[Phalguni],
Robust Contact Lens Detection Using Local Phase Quantization and Binary
Gabor Pattern,
CAIP15(I:702-714).
Springer DOI
1511
BibRef
Gupta, P.[Priyanshu],
Behera, S.[Shipra],
Vatsa, M.[Mayank],
Singh, R.[Richa],
On Iris Spoofing Using Print Attack,
ICPR14(1681-1686)
IEEE DOI
1412
Accuracy
BibRef
Huang, X.Y.[Xin-Yu],
Ti, C.P.[Chang-Peng],
Hou, Q.Z.[Qi-Zhen],
Tokuta, A.,
Yang, R.G.[Rui-Gang],
An experimental study of pupil constriction for liveness detection,
WACV13(252-258).
IEEE DOI
1303
BibRef
He, Z.F.[Zhao-Feng],
Sun, Z.A.[Zhen-An],
Tan, T.N.[Tie-Niu],
Wei, Z.S.[Zhuo-Shi],
Efficient Iris Spoof Detection via Boosted Local Binary Patterns,
ICB09(1080-1090).
Springer DOI
0906
BibRef
Kywe, W.W.[Wyne Wyne],
Yoshida, M.[Masashi],
Murakami, K.[Kazuhito],
Contact Lens Extraction by Using Thermo-Vision,
ICPR06(IV: 570-573).
IEEE DOI
0609
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Iris Recognition Systems, Wavelet Based .