22.5.3.8 Retinal Identification Systems and Tecniques

Hill, R.B.[Robert B.],
Apparatus and method for identifying individuals through their retinal vasculature patterns,
US_Patent4,109,237, Aug 22, 1978
WWW Link. BibRef 7808

Marshall, J.[John], Usher, D.[David],
Method for generating a unique consistent signal pattern for identification of an individual,
US_Patent6,453,057, Sep 17, 2002
WWW Link. BibRef 0209
And: US_Patent6,993,161, Jan 31, 2006
WWW Link. Retinal pattern BibRef

Heacock, G.L.[Gregory L.],
System for capturing an image of the retina for identification,
US_Patent7,224,822, May 29, 2007
WWW Link. BibRef 0705

Muller, D.F.[David F.], Heacock, G.L.[Gregory L.], Usher, D.B.[David B.],
Method and system for generating a combined retina/iris pattern biometric,
US_Patent7,248,720, Jul 24, 2007
WWW Link. BibRef 0707

Woodard, D.L.[Damon L.], Pundlik, S.J.[Shrinivas J.], Miller, P.E.[Philip E.], Lyle, J.R.[Jamie R.],
Appearance-based periocular features in the context of face and non-ideal iris recognition,
SIViP(5), No. 4, November 2011, pp. 443-455.
WWW Link. 1111
BibRef
Earlier: A1, A2, A4, A3:
Periocular region appearance cues for biometric identification,
Biometrics10(162-169).
IEEE DOI 1006
How good is it? Can it be used in conjunction with face and iris.
See also Soft biometric classification using local appearance periocular region features. BibRef

Crihalmeanu, S.[Simona], Ross, A.A.[Arun A.],
Multispectral scleral patterns for ocular biometric recognition,
PRL(33), No. 14, 15 October 2012, pp. 1860-1869.
Elsevier DOI 1209
Biometrics; Sclera; Conjunctival vasculature; Multispectral; Ocular biometrics BibRef

Zhou, Z., Du, E.Y., Thomas, N.L., Delp, E.J.,
A New Human Identification Method: Sclera Recognition,
SMC-A(42), No. 3, May 2012, pp. 571-583.
IEEE DOI 1204
BibRef

Lyle, J.R.[Jamie R.], Miller, P.E.[Philip E.], Pundlik, S.J.[Shrinivas J.], Woodard, D.L.[Damon L.],
Soft biometric classification using local appearance periocular region features,
PR(45), No. 11, November 2012, pp. 3877-3885.
Elsevier DOI 1206
Biometrics; Gender classification; Ethnic classification; Periocular
See also Appearance-based periocular features in the context of face and non-ideal iris recognition. BibRef

Lajevardi, S.M., Arakala, A., Davis, S.A., Horadam, K.J.,
Retina Verification System Based on Biometric Graph Matching,
IP(22), No. 9, 2013, pp. 3625-3635.
IEEE DOI 1309
Retinal feature extraction BibRef

Nirmala, S.R., Dandapat, S., Bora, P.K.,
Wavelet weighted distortion measure for retinal images,
SIViP(7), No. 5, September 2013, pp. 1005-1014.
WWW Link. 1309
BibRef

Dehghani, A., Ghassabi, Z., Abrishami-Moghaddam, H.[Hamid], Moin, M.S.[Mohammad-Shahram],
Human recognition based on retinal images and using new similarity function,
JIVP(2013), No. 1, 2013, pp. 58.
DOI Link 1311
Harris detector. Corner features in retinal images. BibRef

Juefei-Xu, F.[Felix], Savvides, M.[Marios],
Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST's Face Recognition Grand Challenge,
IP(23), No. 8, August 2014, pp. 3490-3505.
IEEE DOI 1408
BibRef
And:
Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects,
WACV12(201-208).
IEEE DOI 1203
discrete transforms BibRef

Proença, H., Briceño, J.C.,
Periocular biometrics: constraining the elastic graph matching algorithm to biologically plausible distortions,
IET-Bio(3), No. 4, 2014, pp. 167-175.
DOI Link 1504
biometrics (access control) BibRef

Bhuiyan, A.[Alauddin], Hussain, A.[Akter], Mian, A.S.[Ajmal S.], Wong, T.Y.[Tien Y.], Ramamohanarao, K.[Kotagiri], Kanagasingam, Y.[Yogesan],
Biometric authentication system using retinal vessel pattern and geometric hashing,
IET-Bio(6), No. 2, March 2017, pp. 79-88.
DOI Link 1703
BibRef
Earlier: A2, A1, A3, A6, Only:
Biometric Security Application for Person Authentication Using Retinal Vessel Feature,
DICTA13(1-8)
IEEE DOI 1402
blood vessels BibRef

Tankasala, S.P.[Sriram Pavan], Doynov, P.[Plamen], Chrihalmeanu, S.[Simona], Derakhshani, R.[Reza],
Ocular surface vasculature recognition using curvelet transform,
IET-Bio(6), No. 2, March 2017, pp. 97-107.
DOI Link 1703
BibRef

Tankasala, S.P.[Sriram Pavan], Doynov, P.[Plamen], Derakhshani, R.R.[Reza R.], Ross, A.A.[Arun A.], Crihalmeanu, S.[Simona],
Biometric recognition of conjunctival vasculature using GLCM features,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Crihalmeanu, S.[Simona], Ross, A.A.[Arun A.],
On the use of multispectral conjunctival vasculature as a soft biometric,
WACV11(204-211).
IEEE DOI 1101
Vessels in the eye. BibRef

Karthik, K.[Karri], Mahadevappa, M.[Manjunatha],
Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography,
IVC(146), 2024, pp. 105044.
Elsevier DOI 2405
Convolution neural network (CNN), Retinal diseases, Adaptive convolutions, Optical coherence tomography (OCT), Zeckendorf's theorem BibRef

Castaldi, F.M.V.[Fabiola M. Villalobos], Felipe-Riveron, E.M.[Edgardo M.], Gómez, E.S.[Ernesto Suaste],
A New Retinal Recognition System Using a Logarithmic Spiral Sampling Grid,
MCPR14(241-250).
Springer DOI 1407
BibRef

Alonso-Fernandez, F.[Fernando], Bigun, J.[Josef],
Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition,
Face12(II: 309-318).
Springer DOI 1210
BibRef

Juefei-Xu, F.[Felix], Luu, K.[Khoa], Savvides, M.[Marios], Bui, T.D.[Tien D.], Suen, C.Y.[Ching Y.],
Investigating Age Invariant Face Recognition Based on Periocular Biometrics,
ICJB11(xx-yy). Award, IJCB Poster.
PDF File. Compare to:
See also Automatic Age Estimation Based on Facial Aging Patterns. (38%),
See also Age-Invariant Face Recognition. (37%),
See also Discriminative Model for Age Invariant Face Recognition, A. (47%). Shows better results on dataset.
See also Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects. BibRef 1100

Park, U.S.[Un-Sang], Ross, A.A., Jain, A.K.,
Periocular biometrics in the visible spectrum: A feasibility study,
BTAS09(1-6).
IEEE DOI 0909
BibRef

Adams, J.[Joshua], Woodard, D.L.[Damon L.], Dozier, G.[Gerry], Miller, P.E.[Philip E.], Bryant, K.[Kelvin], Glenn, G.[George],
Genetic-Based Type II Feature Extraction for Periocular Biometric Recognition: Less is More,
ICPR10(205-208).
IEEE DOI 1008
BibRef

Azemin, M.Z.C.[M. Z. Che], Kumar, D.K.[Dinesh K.], Wu, H.R.[Hong Ren],
Shape Signature for Retinal Biometrics,
DICTA09(381-386).
IEEE DOI 0912
BibRef

Amiri, M.D.[Mehran Deljavan], Tab, F.A.[Fardin Akhlaqian], Barkhoda, W.[Wafa],
Retina Identification Based on the Pattern of Blood Vessels Using Angular and Radial Partitioning,
ACIVS09(732-739).
Springer DOI 0909
BibRef

Calvo, D.[David], Ortega, M.[Marcos], Penedo, M.G.[Manuel G.], Rouco, J.[José], Remeseiro, B.[Beatriz],
Characterisation of Retinal Feature Points Applied to a Biometric System,
CIAP09(355-363).
Springer DOI 0909
BibRef

Calvo, D., Ortega, M., Penedo, M.G., Rouco, J.,
Characterisation of Feature Points in Eye Fundus Images,
CIARP09(449-456).
Springer DOI 0911
BibRef

Fuhrmann, T.[Thomas], Hämmerle-Uhl, J.[Jutta], Uhl, A.[Andreas],
Usefulness of Retina Codes in Biometrics,
PSIVT09(624-632).
Springer DOI 0901
BibRef

Ortega, M., Penedo, M.G., Mariño, C., Carreira, M.J.,
Similarity Metrics Analysis for Feature Point Based Retinal Authentication,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Dental Identification, Dental Biometrics .