22.5.3.1 Periocular Biometrics

Chapter Contents (Back)
Periocular Biometrics.

Mahalingam, G.[Gayathri], Ricanek, K.[Karl],
LBP-based periocular recognition on challenging face datasets,
JIVP(2013), No. 1, 2013, pp. 36.
DOI Link 1307
BibRef

Tan, C.W., Kumar, A.,
Towards Online Iris and Periocular Recognition Under Relaxed Imaging Constraints,
IP(22), No. 10, 2013, pp. 3751-3765.
IEEE DOI 1309
Identification at-a-distance BibRef

Proença, H.[Hugo],
Ocular Biometrics by Score-Level Fusion of Disparate Experts,
IP(23), No. 12, December 2014, pp. 5082-5093.
IEEE DOI 1412
image coding BibRef

Raghavendra, R., Raja, K.B.[Kiran B.], Busch, C.[Christoph],
Presentation Attack Detection for Face Recognition Using Light Field Camera,
IP(24), No. 3, March 2015, pp. 1060-1075.
IEEE DOI 1502
Cameras BibRef

Raghavendra, R., Raja, K.B.[Kiran B.], Yang, B.[Bian], Busch, C.[Christoph],
Combining Iris and Periocular Recognition Using Light Field Camera,
ACPR13(155-159)
IEEE DOI 1408
cameras BibRef

Raghavendra, R., Raja, K.B.[Kiran B.], Venkatesh, S., Busch, C.[Christoph],
Face Presentation Attack Detection by Exploring Spectral Signatures,
Biometrics17(672-679)
IEEE DOI 1709
Databases, Face, Face recognition, Printers, Sensors, Skin, Support, vector, machines BibRef

Santos, G.[Gil], Grancho, E.[Emanuel], Bernardo, M.V.[Marco V.], Fiadeiro, P.T.[Paulo T.],
Fusing iris and periocular information for cross-sensor recognition,
PRL(57), No. 1, 2015, pp. 52-59.
Elsevier DOI 1505
Color perception BibRef

Ambika, D.R., Radhika, K.R., Seshachalam, D.,
Periocular authentication based on FEM using Laplace-Beltrami eigenvalues,
PR(50), No. 1, 2016, pp. 178-194.
Elsevier DOI 1512
Periocular authentication BibRef

Juefei-Xu, F., Luu, K., Savvides, M.,
Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios,
IP(24), No. 12, December 2015, pp. 4780-4795.
IEEE DOI 1512
correlation methods BibRef

Cao, Z.C.[Zhi-Cheng], Schmid, N.A.[Natalia A.],
Fusion of operators for heterogeneous periocular recognition at varying ranges,
PRL(82, Part 2), No. 1, 2016, pp. 170-180.
Elsevier DOI 1609
Heterogeneous recognition BibRef

Luz, E.[Eduardo], Moreira, G.[Gladston], Junior, L.A.Z.[Luiz Antonio Zanlorensi], Menotti, D.[David],
Deep periocular representation aiming video surveillance,
PRL(114), 2018, pp. 2-12.
Elsevier DOI 1811
Deep learning, Transfer learning, VGG Periocular region, Video surveillance, UBIRIS.v2, MobBIO BibRef

Zanlorensi, L.A.[Luiz A.], Lucio, D.R.[Diego Rafael], de Souza Britto Junior, A.[Alceu], Proença, H.[Hugo], Menotti, D.[David],
Deep representations for cross-spectral ocular biometrics,
IET-Bio(9), No. 2, March 2020, pp. 68-77.
DOI Link 2002
BibRef

Jung, Y.G., Low, C.Y., Park, J., Teoh, A.B.J.,
Periocular Recognition in the Wild With Generalized Label Smoothing Regularization,
SPLetters(27), 2020, pp. 1455-1459.
IEEE DOI 2009
Face, Smoothing methods, Task analysis, Training, Probes, Testing, Convolutional neural networks, Convolution neural networks, periocular recognition in the wild BibRef

Raja, K.[Kiran], Ramachandra, R.[Raghavendra], Busch, C.[Christoph],
Collaborative representation of blur invariant deep sparse features for periocular recognition from smartphones,
IVC(101), 2020, pp. 103979.
Elsevier DOI 2009
Periocular recognition, Visible Spectrum, Smartphone, Biometrics, Deep sparse filtering BibRef

Reddy, N.[Narsi], Rattani, A.[Ajita], Derakhshani, R.[Reza],
Generalizable deep features for ocular biometrics,
IVC(103), 2020, pp. 103996.
Elsevier DOI 2011
Ocular recognition, Invariant feature representation, Data augmentation BibRef

Jain, D.K.[Deepak Kumar], Lan, X.Y.[Xiang-Yuan], Manikandan, R.[Ramachandran],
Fusion of iris and sclera using phase intensive rubbersheet mutual exclusion for periocular recognition,
IVC(103), 2020, pp. 104024.
Elsevier DOI 2011
Phase intensive, Rubbersheeting, Local pattern extraction, Mutual exclusive, Bayesian, Distributed hamming distance template matching (DHDTM) BibRef

Behera, S.S.[Sushree S.], Mishra, S.S.[Sapna S.], Mandal, B.[Bappaditya], Puhan, N.B.[Niladri B.],
Variance-guided attention-based twin deep network for cross-spectral periocular recognition,
IVC(104), 2020, pp. 104016.
Elsevier DOI 2012
Attention, Cross-spectral, Convolutional neural network, Heterogeneous, Periocular BibRef

Seha, S.N.A.[Sherif Nagib Abbas], Hatzinakos, D.[Dimitrios], Zandi, A.S.[Ali Shahidi], Comeau, F.J.E.[Felix J.E.],
Improving eye movement biometrics in low frame rate eye-tracking devices using periocular and eye blinking features,
IVC(108), 2021, pp. 104124.
Elsevier DOI 2104
Eye movements, Eye blinking, Periocular features, Multi-modal biometrics, Continuous driver authentication BibRef

Luo, Z.D.[Zheng-Ding], Li, J.T.[Jun-Ting], Zhu, Y.S.[Yue-Sheng],
A Deep Feature Fusion Network Based on Multiple Attention Mechanisms for Joint Iris-Periocular Biometric Recognition,
SPLetters(28), 2021, pp. 1060-1064.
IEEE DOI 2106
Iris recognition, Feature extraction, Biometrics (access control), Iris, Databases, Convolution, Training, jointly supervised loss BibRef

Casanova, A.[Andrea], Cascone, L.[Lucia], Castiglione, A.[Aniello], Meng, W.Z.[Wei-Zhi], Pero, C.[Chiara],
User recognition based on periocular biometrics and touch dynamics,
PRL(148), 2021, pp. 114-120.
Elsevier DOI 2107
Touch dynamics, Eye movement, User recognition, Biometric identification, Behavioural biometrics BibRef

Maureira, J.[Jose], Tapia, J.E.[Juan E.], Arellano, C.[Claudia], Busch, C.[Christoph],
Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms,
IET-Bio(11), No. 4, 2022, pp. 343-354.
DOI Link 2207
BibRef

Sharma, R.[Renu], Ross, A.[Arun],
Periocular biometrics and its relevance to partially masked faces: A survey,
CVIU(226), 2023, pp. 103583.
Elsevier DOI 2212
Survey, Periocular Biometrics. Periocular, Ocular, Biometrics
See also Face Recognition Systems, Occlusions, Masks. BibRef

Nguyen, H.M.[Hoang Mark], Derakhshani, R.[Reza],
NAS For efficient mobile eyebrow biometrics,
PRL(164), 2022, pp. 276-283.
Elsevier DOI 2212
BibRef

Tiong, L.C.O.[Leslie Ching Ow], Sigmund, D.[Dick], Teoh, A.B.J.[Andrew Beng Jin],
Face-Periocular Cross-Identification via Contrastive Hybrid Attention Vision Transformer,
SPLetters(30), 2023, pp. 254-258.
IEEE DOI 2303
Face recognition, Probes, Faces, Transformers, Training, Feature extraction, Biological system modeling, vision transformer BibRef


Poster, D.[Domenick], Nasrabadi, N.[Nasser],
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition,
FG21(1-5)
IEEE DOI 2303
Representation learning, Image recognition, Face recognition, Semantics, Computer architecture, Gesture recognition, Generative adversarial networks BibRef

Ng, T.S.[Tiong-Sik], Low, C.Y.[Cheng-Yaw], Chai, J.C.L.[Jacky Chen Long], Teoh, A.B.J.[Andrew Beng Jin],
Conditional Multimodal Biometrics Embedding Learning For Periocular and Face in the Wild,
ICPR22(812-818)
IEEE DOI 2212
Training, Biometrics (access control), Face recognition, Biological system modeling, Neural networks, Transforms, Deep Embedding Learning BibRef

Abate, A.[Andrea], Cimmino, L.[Lucia], Nappi, M.[Michele], Narducci, F.[Fabio],
Fusion of Periocular Deep Features in a Dual-Input CNN for Biometric Recognition,
CIAP22(I:368-378).
Springer DOI 2205
BibRef

Talreja, V.[Veeru], Nasrabadi, N.M.[Nasser M.], Valenti, M.C.[Matthew C.],
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition,
WACV22(1141-1150)
IEEE DOI 2202
Training, Image recognition, Biometrics (access control), Pandemics, Fuses, Face recognition, Biological system modeling, Deep Learning BibRef

Brito, J.[João], Proença, H.[Hugo],
A Deep Adversarial Framework for Visually Explainable Periocular Recognition,
Biometrics21(1453-1461)
IEEE DOI 2109
Visualization, Biometrics (access control), Transforms, Cognition, Pattern recognition BibRef

Nguyen, H.M.[Hoang Mark], Reddy, N.[Narsi], Rattani, A.[Ajita], Derakhshani, R.[Reza],
VISOB 2.0 - The Second International Competition on Mobile Ocular Biometric Recognition,
WMWB20(200-208).
Springer DOI 2103
BibRef

Krishnan, A.[Anoop], Almadan, A.[Ali], Rattani, A.[Ajita],
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on Visob 2.0 Dataset,
WMWB20(229-243).
Springer DOI 2103
BibRef

Zanlorensi, L.A., Proença, H., Menotti, D.,
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization,
ICIP20(1361-1365)
IEEE DOI 2011
Periocular recognition, Biometrics, Attribute editing, Image normalization BibRef

Bobeldyk, D., Ross, A.,
Predicting Soft Biometric Attributes from 30 Pixels: A Case Study in NIR Ocular Images,
DVPBA19(116-124)
IEEE DOI 1902
Image resolution, Iris recognition, Biomedical imaging, Image color analysis, Feature extraction, Sensors, Image sensors BibRef

Raja, K.B.[Kiran B.], Raghavendra, R., Busch, C.[Christoph],
Anchored Kernel Hashing for Cancelable Template Protection for Cross-Spectral Periocular Data,
IWCF18(103-116).
Springer DOI 1901
BibRef

Ahuja, K., Islam, R., Barbhuiya, F.A., Dey, K.,
A preliminary study of CNNs for iris and periocular verification in the visible spectrum,
ICPR16(181-186)
IEEE DOI 1705
Biological system modeling, Computational modeling, Face, Face recognition, Iris recognition, Performance evaluation, Training BibRef

Al Gashaam, F., Nguyen, K.[Kien], Boles, W., Chandran, V.[Vinod],
Periocular Recognition Under Expression Variation Using Higher Order Spectral Features,
ICVNZ15(1-6)
IEEE DOI 1701
face recognition BibRef

Monteiro, J.C.[João C.], Esteves, R.[Rui], Santos, G.[Gil], Fiadeiro, P.T.[Paulo Torrão], Lobo, J.[Joana], Cardoso, J.S.[Jaime S.],
A Comparative Analysis of Two Approaches to Periocular Recognition in Mobile Scenarios,
ISVC15(II: 268-280).
Springer DOI 1601
BibRef

Sharma, A.[Anjali], Verma, S.[Shalini], Vatsa, M.[Mayank], Singh, R.[Richa],
On cross spectral periocular recognition,
ICIP14(5007-5011)
IEEE DOI 1502
Accuracy BibRef

Cao, Z.C.X.[Zhi-Cheng X.], Schmid, N.A.[Natalia A.],
Matching heterogeneous periocular regions: Short and long standoff distances,
ICIP14(4967-4971)
IEEE DOI 1502
Algorithm design and analysis BibRef

Joshi, A.[Akanksha], Gangwar, A.[Abhishek], Sharma, R.[Renu], Singh, A.[Ashutosh], Saquib, Z.[Zia],
Periocular recognition based on Gabor and Parzen PNN,
ICIP14(4977-4981)
IEEE DOI 1502
Accuracy BibRef

Nie, L.[Lei], Kumar, A.[Ajay], Zhan, S.[Song],
Periocular Recognition Using Unsupervised Convolutional RBM Feature Learning,
ICPR14(399-404)
IEEE DOI 1412
Databases BibRef

Uzair, M.[Muhammad], Mahmood, A.[Arif], Mian, A.S.[Ajmal S.], McDonald, C.,
Periocular biometric recognition using image sets,
WACV13(246-251).
IEEE DOI 1303
BibRef

Woodard, D.L.[Damon L.], Pundlik, S.J.[Shrinivas J.], Miller, P.E.[Philip E.], Jillela, R.[Raghavender], Ross, A.A.[Arun A.],
On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery,
ICPR10(201-204).
IEEE DOI 1008
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Iris Based Biometrics, Biometrics Engineering Research Center, Dongguk University .


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