22.5.3.3 Iris Recognition Systems, Infrared, Near-Infrared, NIR Based

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

Hollingsworth, K.[Karen], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Useful features for human verification in near-infrared periocular images,
IVC(29), No. 11, October 2011, pp. 707-715.
Elsevier DOI 1111
Periocular recognition; Ocular biometrics; Near-infrared light
See also Genetically identical irises have texture similarity that is not detected by iris biometrics. BibRef

Shamsafar, F.[Faranak], Seyedarabi, H.[Hadi], Aghagolzadeh, A.[Ali],
Fusing the information in visible light and near-infrared images for iris recognition,
MVA(25), No. 4, May 2014, pp. 881-899.
WWW Link. 1404
BibRef

Yahiaoui, M.[Meriem], Monfrini, E.[Emmanuel], Dorizzi, B.[Bernadette],
Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition,
PRL(82, Part 2), No. 1, 2016, pp. 116-123.
Elsevier DOI 1609
Degraded iris images BibRef


Tapia, J.[Juan], Droguett, E.L.[Enrique Lopez], Busch, C.[Christoph],
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network,
ICPR22(959-966)
IEEE DOI 2212
Central nervous system, Cameras, Classification algorithms, Pupils, Standards, Iris recognition BibRef

Benalcazar, D., Perez, C., Bastias, D., Bowyer, K.W.,
Iris Recognition: Comparing Visible-Light Lateral and Frontal Illumination to NIR Frontal Illumination,
WACV19(867-876)
IEEE DOI 1904
binary codes, Hamming codes, image capture, image classification, image coding, image enhancement, image texture, infrared imaging, Lenses BibRef

Haaf, V., Neukamp, M., Hämmerle-Uhl, J., Uhl, A.,
Real-World Non-NIR Illumination and Wavelength-Specific Acquisition Variants in Iris Recognition,
ICVISP17(40-45)
IEEE DOI 1712
Electron tubes, Feature extraction, Fluorescence, High definition video, Imaging, Iris recognition, Lighting, NIR, visible wavelength BibRef

Rathgeb, C., Struck, F., Busch, C.,
Efficient BSIF-based near-infrared iris recognition,
IPTA16(1-6)
IEEE DOI 1703
feature extraction BibRef

Thavalengal, S.[Shejin], Bigioi, P.[Petronel], Corcoran, P.[Peter],
Evaluation of combined visible/NIR camera for iris authentication on smartphones,
Biometrics15(42-49)
IEEE DOI 1510
Cameras BibRef

Alonso-Fernandez, F.[Fernando], Bigun, J.[Josef],
Best regions for periocular recognition with NIR and visible images,
ICIP14(4987-4991)
IEEE DOI 1502
Biomedical imaging BibRef

Mahadeo, N.K., Paplinski, A.P., Ray, S.,
Automated Selection of Optimal Frames in NIR Iris Videos,
DICTA13(1-8)
IEEE DOI 1402
image motion analysis BibRef

Uhl, A.[Andreas], Wild, P.[Peter],
Fusion of Iris Segmentation Results,
CIARP13(II:310-317).
Springer DOI 1311
BibRef
Earlier:
Multi-stage Visible Wavelength and Near Infrared Iris Segmentation Framework,
ICIAR12(II: 1-10).
Springer DOI 1206
BibRef

Uhl, A.[Andreas], Wild, P.[Peter],
Enhancing Iris Matching Using Levenshtein Distance with Alignment Constraints,
ISVC10(I: 469-478).
Springer DOI 1011
BibRef

Zhang, Z.J.[Zhi-Jian], Wang, R.[Rui], Pan, K.[Ke], Li, S.Z.[Stan Z.], Zhang, P.[Peiren],
Fusion of Near Infrared Face and Iris Biometrics,
ICB07(172-180).
Springer DOI 0708
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Iris Recognition Systems, Spoofing, Liveness, Presentation Attack, Contact Lenses .


Last update:Apr 18, 2024 at 11:38:49