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
Alonso-Fernandez, F.[Fernando],
Bigun, J.[Josef],
Fierrez, J.[Julian],
Damer, N.[Naser],
Proença, H.[Hugo],
Ross, A.[Arun],
Periocular Biometrics: A Modality for Unconstrained Scenarios,
Computer(57), No. 6, June 2024, pp. 40-49.
IEEE DOI
2406
Biometrics (access control)
BibRef
Das, S.[Sumanta],
de Ghosh, I.[Ishita],
Presentation Attack Detection for Sclera Biometric Applications,
ICCVMI23(1-6)
IEEE DOI
2403
Deep learning, Medical conditions, Image resolution,
Image recognition, Biological system modeling, Reliability, MASDUM
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 .