22.5.3.4 Iris Recognition Systems, Spoofing, Liveness, Presentation Attack, Contact Lenses

Chapter Contents (Back)
Biometrics. Iris Recognition. Spoofing.

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.[Jiasheng], 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


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 .


Last update:Mar 16, 2024 at 20:36:19