21.5.3.1 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


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:Apr 20, 2019 at 12:32:38