22.5.3 Biometrics, Iris Recognition Systems

Flom, L.[Leonard], Safir, A.[Aran],
Iris recognition system,
US_Patent4,641,349, Feb 3, 1987
WWW Link. BibRef 8702

Wildes, R.P., Asmuth, J.C., Green, G.L., Hsu, S.C., Kolczynski, R.J., Matey, J.R., McBride, S.E.,
A Machine-Vision System for Iris Recognition,
MVA(9), No. 1, 1996, pp. 1-8.
Springer DOI 9608
BibRef
Earlier:
A system for automated iris recognition,
WACV94(121-128).
IEEE Abstract. 0403
BibRef

Wildes, R.P.[Richard Patrick], Asmuth, J.C.[Jane Circle], Hanna, K.J.[Keith James], Hsu, S.C.[Stephen Charles], Kolczynski, R.J.[Raymond Joseph], Matey, J.R.[James Regis], McBride, S.E.[Sterling Eduard],
Automated, non-invasive iris recognition system and method,
US_Patent5,572,596, Nov 5, 1996
WWW Link. BibRef 9611
And: US_Patent5,751,836, May 12, 1998
WWW Link. BibRef

Matey, J.R., Naroditsky, O., Hanna, K.J., Kolczynski, R., LoIacono, D.J., Mangru, S., Tinker, M., Zappia, T.M., Zhao, W.Y.,
Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments,
PIEEE(94), No. 11, November 2006, pp. 1936-1947.
IEEE DOI 0611
BibRef

Fancourt, C.[Craig], Bogoni, L.[Luca], Hanna, K.J.[Keith James], Guo, Y.L.[Yan-Lin], Wildes, R.P.[Richard P.], Takahashi, N.[Naomi], Jain, U.[Uday],
Iris Recognition at a Distance,
AVBPA05(1).
Springer DOI 0509
BibRef

Shimotani, M.[Mitsuo], Nishida, M.[Minoru], Okada, A.[Akira], Satake, T.[Toshihide], Washino, S.[Shoichi], Okawa, F.[Futoshi], Terashita, H.[Hiromi],
Bodily state detection apparatus,
US_Patent5,795,306, Aug 18, 1998
WWW Link. pupil analysis BibRef 9808

Doster, R.[Rodney],
Iris recognition apparatus and method,
US_Patent5,956,122, Sep 21, 1999
WWW Link. BibRef 9909

Okano, K.[Kenji], Kuno, Y.J.[Yu-Ji],
Method and apparatus for identifying individuals,
US_Patent6,144,754, Nov 7, 2000
WWW Link. BibRef 0011
And:
System for identifying individuals,
US_Patent6,373,968, Apr 16, 2002
WWW Link. BibRef

Ma, L.[Li], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong], Zhang, D.[Dexin],
Personal identification based on iris texture analysis,
PAMI(25), No. 12, December 2003, pp. 1519-1533.
IEEE Abstract. 0401
Texture. From a sequence, select on quality. Get local texture characteristics. BibRef

Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Ordinal Measures for Iris Recognition,
PAMI(31), No. 12, December 2009, pp. 2211-2226.
IEEE DOI 0911
Compact representation of texture info in iris. BibRef

Zhang, M.[Man], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Perturbation-enhanced feature correlation filter for robust iris recognition,
IET-Bio(1), No. 1, March 2012, pp. 37-45.
DOI Link 1305
BibRef
Earlier:
Deformable DAISY Matcher for robust iris recognition,
ICIP11(3189-3192).
IEEE DOI 1201
BibRef

Sun, Z.A.[Zhen-An], Zhang, H., Tan, T.N.[Tie-Niu], Wang, J.,
Iris Image Classification Based on Hierarchical Visual Codebook,
PAMI(36), No. 6, June 2014, pp. 1120-1133.
IEEE DOI 1406
Biomedical imaging BibRef

Zhang, X.B.[Xiao-Bo], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Hierarchical Fusion of Face and Iris for Personal Identification,
ICPR10(217-220).
IEEE DOI 1008
BibRef

Zhang, L.[Long], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu], Hu, S.G.[Shun-Geng],
Robust Biometric Key Extraction Based on Iris Cryptosystem,
ICB09(1060-1069).
Springer DOI 0906
BibRef

Li, X.G.[Xing-Guang], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Comprehensive assessment of iris image quality,
ICIP11(3117-3120).
IEEE DOI 1201
BibRef

Qiu, X.C.[Xian-Chao], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Learning Appearance Primitives of Iris Images for Ethnic Classification,
ICIP07(II: 405-408).
IEEE DOI 0709
BibRef
Earlier:
Global Texture Analysis of Iris Images for Ethnic Classification,
ICB06(411-418).
Springer DOI 0601
BibRef

Dong, W.B.[Wen-Bo], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Iris Matching Based on Personalized Weight Map,
PAMI(33), No. 9, September 2011, pp. 1744-1757.
IEEE DOI 1109
The matching part of iris recognition. BibRef

Lefohn, A.[Aaron], Budge, B.[Brian], Shirley, P.[Peter], Caruso, R.[Richard], and Reinhard, E.[Erik],
An Ocularist's Approach to Human Iris Synthesis,
IEEE_CGA(23), No. 6, November/December, 2003, pp. 70-75.
HTML Version. BibRef 0311

Ma, L.[Li], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong], Zhang, D.[Dexin],
Local intensity variation analysis for iris recognition,
PR(37), No. 6, June 2004, pp. 1287-1298.
Elsevier DOI 0405
BibRef

Ma, L.[Li], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong], Zhang, D.[Dexin],
Efficient iris recognition by characterizing key local variations,
IP(13), No. 6, June 2004, pp. 739-750.
IEEE DOI 0406

See also Toward Accurate and Fast Iris Segmentation for Iris Biometrics. BibRef

Ma, L.[Li], Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu],
Iris recognition using circular symmetric filters,
ICPR02(II: 414-417).
IEEE DOI 0211
BibRef

Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu], Jain, A.K.[Anil K.],
Combining Face and Iris Biometrics for Identity Verification,
AVBPA03(805-813).
Springer DOI 0310
BibRef

Sun, Z.N.[Zhe-Nan], Tan, T.N.[Tie-Niu], Qiu, X.C.[Xian-Chao],
Graph Matching Iris Image Blocks with Local Binary Pattern,
ICB06(366-372).
Springer DOI 0601
BibRef

Wei, Z.S.[Zhuo-Shi], Tan, T.N.[Tie-Niu], Sun, Z.A.[Zhen-An], Cui, J.L.[Jia-Li],
Robust and Fast Assessment of Iris Image Quality,
ICB06(464-471).
Springer DOI 0601
BibRef

Oda, T.[Takahiro],
Iris code generating device and iris identifying system,
US_Patent6,542,624, Apr 1, 2003
WWW Link. BibRef 0304
And:
Method and apparatus for identifying an iris,
US_Patent6,546,121, Apr 8, 2003
WWW Link. BibRef

Hanna, K.J.[Keith James], Burt, P.J.[Peter J.], Peleg, S.[Shmuel], Dixon, D.F.[Douglas F.], Mishra, D.[Deepam], Wixson, L.E.[Lambert E.], Mandlebaum, R.[Robert], Coyle, P.[Peter], Herman, J.R.[Joshua R.],
Fully automated iris recognition system utilizing wide and narrow fields of view,
US_Patent6,714,665, Mar 30, 2004
WWW Link. BibRef 0403

Kamada, M.[Mikio],
Iris authentication apparatus,
US_Patent6,785,406, Aug 31, 2004
WWW Link. BibRef 0408

Dobeš, M., Martinek, J., Skoupil, D., Dobešová, Z., Pospíšil, J.,
Human eye localization using the modified Hough transform,
Optik(117), No. 10, 2006, pp. 468-473.
See also Iris Database. BibRef 0600

Dobeš, M., Machala, L., Tichavský, P., Pospíšil, J.,
Human Eye Iris Recognition Using the Mutual Information,
Optik(115), No. 9, 2004, pp. 399-405. BibRef 0400

Sun, Z.A.[Zhen-An], Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu], Cui, J.L.[Jia-Li],
Improving Iris Recognition Accuracy via Cascaded Classifiers,
SMC-C(35), No. 3, August 2005, pp. 435-441.
IEEE DOI 0508
BibRef
Earlier: ICBA04(418-425).
Springer DOI 0505
BibRef

Cui, J.L.[Jia-Li], Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu], Ma, L.[Li], Sun, Z.A.[Zhen-An],
An Iris Recognition Algorithm Using Local Extreme Points,
ICBA04(442-449).
Springer DOI 0505
BibRef

Yu, L.[Li], Zhang, D.[David], Wang, K.Q.[Kuan-Quan], Yang, W.[Wen],
Coarse iris classification using box-counting to estimate fractal dimensions,
PR(38), No. 11, November 2005, pp. 1791-1798.
Elsevier DOI 0509
BibRef

Yu, L.[Li], Zhang, D.[David], Wang, K.Q.[Kuan-Quan],
The relative distance of key point based iris recognition,
PR(40), No. 2, February 2007, pp. 423-430.
Elsevier DOI 0611
BibRef
Earlier: A1, A3, A2:
A Novel Method for Coarse Iris Classification,
ICB06(404-410).
Springer DOI 0601
BibRef
Earlier: A1, A3, A2:
Coarse Iris Classification Based on Box-Counting Method,
ICIP05(III: 301-304).
IEEE DOI 0512
Key point; Relative distance; Gabor filter BibRef

Yang, W.[Wen], Yu, L.[Li], Lu, G.M.[Guang-Ming], Wang, K.Q.[Kuan-Quan],
Iris Recognition Based on Location of Key Points,
ICBA04(484-490).
Springer DOI 0505
BibRef

Fu, J.[Jian], Caulfield, H.J.[H. John], Yoo, S.M.[Seong-Moo], Atluri, V.[Venkata],
Use of Artificial Color filtering to improve iris recognition and searching,
PRL(26), No. 14, 15 October 2005, pp. 2244-2251.
Elsevier DOI 0510

See also Designing spectral sensitivity curves for use with Artificial Color. BibRef

Siew, C.C.[Chong Chin], Teoh, A.B.J.[Andrew Beng Jin], Ngo, D.C.L.[David Chek Ling],
High security Iris verification system based on random secret integration,
CVIU(102), No. 2, May 2006, pp. 169-177.
Elsevier DOI 0605
BibRef
Earlier:
Iris Authentication Using Privatized Advanced Correlation Filter,
ICB06(382-388).
Springer DOI 0601
S-Iris Encoding; Weak inner-product exclusion iterated inner-products between the secret pseudo-random number and the iris feature BibRef

Teoh, A.B.J.[Andrew Beng Jin], Samad, S.A.[Salina Abdul], Hussain, A.[Aini],
Theoretic Evidence k-Nearest Neighbourhood Classifiers in a Bimodal Biometric Verification System,
AVBPA03(778-786).
Springer DOI 0310
BibRef

Teoh, A.B.J.[Andrew B.J.], Yip, W.K.[Wai Kuan], Lee, S.Y.[Sang-Youn],
Cancellable biometrics and annotations on BioHash,
PR(41), No. 6, June 2008, pp. 2034-2044.
Elsevier DOI 0802
BioHash; Cancellable biometrics; Random projection; Johnson-Lindenstrauss lemma BibRef

Teoh, A.B.J.[Andrew Beng Jin], Toh, K.A.[Kar-Ann], Yip, W.K.[Wai Kuan],
2^N Discretisation of BioPhasor in Cancellable Biometrics,
ICB07(435-444).
Springer DOI 0708
BibRef

Teoh, A.B.J.[Andrew Beng Jin], Ngo, D.C.L.[David Chek Ling],
Biophasor: Token Supplemented Cancellable Biometrics,
ICARCV06(1-5).
IEEE DOI 0612
BibRef

Monro, D.M., Rakshit, S.[Soumyadip], Zhang, D.[Dexin],
DCT-Based Iris Recognition,
PAMI(29), No. 4, April 2007, pp. 586-595.
IEEE DOI 0703
BibRef
And: Correction: PAMI(29), No. 9, September 2007, pp. xx.
IEEE DOI 0709
BibRef
Earlier: A3, A1, A2:
Eyelash Removal Method for Human Iris Recognition,
ICIP06(285-288).
IEEE DOI 0610
Coding based on differences of DCT coding of overlapping patches. Near optimal results for verification. BibRef

Monro, D.M., Zhang, D.,
An Effective Human Iris Code with Low Complexity,
ICIP05(III: 277-280).
IEEE DOI 0512
BibRef

Thornton, J.[Jason], Savvides, M.[Marios], Vijaya Kumar, B.V.K.,
A Bayesian Approach to Deformed Pattern Matching of Iris Images,
PAMI(29), No. 4, April 2007, pp. 596-606.
IEEE DOI 0703
BibRef
Earlier:
Robust Iris Recognition Using Advanced Correlation Techniques,
ICIAR05(1098-1105).
Springer DOI 0509
BibRef

Smereka, J.M.[Jonathon M.], Vijaya Kumar, B.V.K.,
What Is a 'Good' Periocular Region for Recognition?,
Biometrics13(117-124)
IEEE DOI 1309
biometrics; ocular; periocular; recognition BibRef

Li, Y.H.[Yung-Hui], Savvides, M.[Marios],
An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation,
PAMI(35), No. 4, April 2013, pp. 784-796.
IEEE DOI 1303
BibRef

Munemoto, T.[Taihei], Li, Y.H.[Yung-Hui], Savvides, M.[Marios],
'Hallucinating Irises' - Dealing with Partial and Occluded Iris Regions,
BTAS08(1-6).
IEEE DOI 0809
BibRef

Kerekes, R., Narayanaswamy, B., Thornton, J., Savvides, M., Vijaya Kumar, B.V.K.,
Graphical Model Approach to Iris Matching Under Deformation and Occlusion,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Trebaol, T., Savvides, M.,
Fractal encoding of low resolution iris imagery for improved matching,
AIPR08(1-4).
IEEE DOI 0810
BibRef

Vijaya Kumar, B.V.K., Xie, C.Y.[Chun-Yan], Thornton, J.[Jason],
Iris Verification Using Correlation Filters,
AVBPA03(697-705).
Springer DOI 0310
BibRef

Alipour, M.[Masoud], Farhadi, A.[Ali], Razavi, N.[Nima],
An application of linear predictive coding and computational geometry to iris recognition,
IJIST(16), No. 5, 2006, pp. 230-233.
DOI Link 0704
BibRef

Lu, C.H.[Chen-Hong], Lu, Z.Y.[Zhao-Yang],
Local feature extraction for iris recognition with automatic scale selection,
IVC(26), No. 7, 2 July 2008, pp. 935-940.
Elsevier DOI 0804
Biometric identification; Iris recognition; Multi-scales representation; Automatic scale selection BibRef

Takano, H.[Hironobu], Kobayashi, H.[Hiroki], Nakamura, K.[Kiyomi],
Rotation Invariant Iris Recognition Method Adaptive to Ambient Lighting Variation,
IEICE(E90-D), No. 6, June 2007, pp. 955-962.
DOI Link 0706
BibRef

Roy, K.[Kaushik], Bhattacharya, P.[Prabir],
Optimal Features Subset Selection and Classification for Iris Recognition,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef
Earlier:
Optimal Features Subset Selection Using Genetic Algorithms for Iris Recognition,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef
And:
Adaptive asymmetrical SVM and genetic algorithms based iris recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Roy, K.[Kaushik], Bhattacharya, P.[Prabir],
Variational level set method and game theory applied for nonideal iris recognition,
ICIP09(2721-2724).
IEEE DOI 0911
BibRef
And:
Nonideal Iris Recognition Using Level Set Approach and Coalitional Game Theory,
CVS09(394-402).
Springer DOI 0910
BibRef
And:
Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition,
ICIAR09(418-428).
Springer DOI 0907
BibRef

Miyazawa, K.[Kazuyuki], Ito, K.[Koichi], Aoki, T.[Takafumi], Kobayashi, K.[Koji], Nakajima, H.[Hiroshi],
An Effective Approach for Iris Recognition Using Phase-Based Image Matching,
PAMI(30), No. 10, October 2008, pp. 1741-1756.
IEEE DOI 0810
BibRef
Earlier:
A Phase-Based Iris Recognition Algorithm,
ICB06(356-365).
Springer DOI 0601
BibRef
Earlier:
An Efficient Iris Recognition Algorithm Using Phase-Based Image Matching,
ICIP05(II: 49-52).
IEEE DOI 0512

See also Fingerprint Recognition Algorithm Using Phase-Based Image Matching for Low-Quality Fingerprints, A.
See also Palmprint Recognition Algorithm Using Phase-Based Correspondence Matching, A.
See also Face Recognition Using Phase-Based Correspondence Matching. BibRef

Miyazawa, K.[Kazuyuki], Ito, K.[Koichi], Aoki, T.[Takafumi], Kobayashi, K.[Koji], Katsumata, A.,
An Iris Recognition System Using Phase-Based Image Matching,
ICIP06(325-328).
IEEE DOI 0610
BibRef

Shin, S.B.[Sung Bok],
Iris identification,
US_Patent7,277,561, Oct 2, 2007
WWW Link. BibRef 0710

Sudha, N., Puhan, N.B., Xia, H., Jiang, X.,
Iris recognition on edge maps,
IET-CV(3), No. 1, March 2009, pp. 1-7.
DOI Link 0905
BibRef

Bastys, A.[Algirdas], Kranauskas, J.[Justas], Masiulis, R.[Rokas],
Iris recognition by local extremum points of multiscale Taylor expansion,
PR(42), No. 9, September 2009, pp. 1869-1877.
Elsevier DOI 0905
BibRef
And:
Iris Matching by Local Extremum Points of Multiscale Taylor Expansion,
ICB09(1070-1079).
Springer DOI 0906
Iris; Segmentation; Similarity; Warping; Recognition; Verification; Local features BibRef

Bastys, A.[Algirdas], Kranauskas, J.[Justas], Kruger, V.[Volker],
Iris recognition by fusing different representations of multi-scale Taylor expansion,
CVIU(115), No. 6, June 2011, pp. 804-816.
Elsevier DOI 1104
Iris; Segmentation; Similarity; Warping; Recognition; Verification; Local features; Multi-scale; Fusion BibRef

Chou, C.T.[Chia-Te], Shih, S.W.[Sheng-Wen], Chen, W.S.[Wen-Shiung], Cheng, V.W.[Victor W.], Chen, D.Y.,
Non-Orthogonal View Iris Recognition System,
CirSysVideo(20), No. 3, March 2010, pp. 417-430.
IEEE DOI 1003
BibRef
Earlier: A1, A2, A3, A4:
Iris Recognition with Multi-Scale Edge-Type Matching,
ICPR06(IV: 545-548).
IEEE DOI 0609
BibRef

Boddeti, N.[Naresh], Vijaya Kumar, B.V.K.,
Extended-Depth-of-Field Iris Recognition Using Unrestored Wavefront-Coded Imagery,
SMC-A(40), No. 3, May 2010, pp. 495-508.
IEEE DOI 1003
BibRef
Earlier:
Extended Depth of Field Iris Recognition with Correlation Filters,
BTAS08(1-8).
IEEE DOI 0809
BibRef

Pillai, J.K.[Jaishanker K.], Patel, V.M.[Vishal M.], Chellappa, R.[Rama], Ratha, N.K.[Nalini K.],
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations,
PAMI(33), No. 9, September 2011, pp. 1877-1893.
IEEE DOI 1109
BibRef
Earlier: A1, A2, A3, Only:
Sparsity inspired selection and recognition of iris images,
BTAS09(1-6).
IEEE DOI 0909
Unconstrained acquisition, robust, security. Handle using random projections and sparse representations. Handle segmentation errors and artifacts. BibRef

Pillai, J.K.[Jaishanker K.], Puertas, M.[Maria], Chellappa, R.[Rama],
Cross-Sensor Iris Recognition through Kernel Learning,
PAMI(36), No. 1, 2014, pp. 73-85.
IEEE DOI 1312
Kernel learning BibRef

Patel, V.M., Chellappa, R., Tistarelli, M.,
Sparse representations and Random Projections for robust and cancelable biometrics,
ICARCV10(1-6).
IEEE DOI 1109
BibRef

Grabowski, K.[Kamil], Napieralski, A.[Andrzej],
Hardware Architecture Optimized for Iris Recognition,
CirSysVideo(21), No. 9, September 2011, pp. 1293-1303.
IEEE DOI 1109
BibRef

Hollingsworth, K.[Karen], Bowyer, K.W.[Kevin W.], Lagree, S.[Stephen], Fenker, S.P.[Samuel P.], Flynn, P.J.[Patrick J.],
Genetically identical irises have texture similarity that is not detected by iris biometrics,
CVIU(115), No. 11, November 2011, pp. 1493-1502.
Elsevier DOI 1110
Ocular biometrics; Iris recognition; Periocular recognition; Monozygotic twins; Genetically identical irises; Texture analysis
See also Useful features for human verification in near-infrared periocular images. BibRef

Hollingsworth, K.[Karen], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Similarity of iris texture between identical twins,
Biometrics10(22-29).
IEEE DOI 1006
BibRef

Shen, F.[Feng], Flynn, P.J.[Patrick J.],
Iris crypts: Multi-scale detection and shape-based matching,
WACV14(977-983)
IEEE DOI 1406
Cryptography BibRef

Fenker, S.P.[Samuel P.], Bowyer, K.W.[Kevin W.],
Analysis of template aging in iris biometrics,
Biometrics12(45-51).
IEEE DOI 1207
BibRef
Earlier:
Experimental evidence of a template aging effect in iris biometrics,
WACV11(232-239).
IEEE DOI 1101
BibRef

Rathgeb, C.[Christian], Uhl, A.[Andreas],
Context-based biometric key generation for Iris,
IET-CV(5), No. 6, 2011, pp. 389-397.
DOI Link 1112
BibRef
Earlier:
Bit Reliability-driven Template Matching in Iris Recognition,
PSIVT10(70-75).
IEEE DOI 1011
BibRef
And:
Iris-Biometric Hash Generation for Biometric Database Indexing,
ICPR10(2848-2851).
IEEE DOI 1008
BibRef
And:
Attacking Iris Recognition: An Efficient Hill-Climbing Technique,
ICPR10(1217-1220).
IEEE DOI 1008
BibRef
And:
Two-Factor Authentication or How to Potentially Counterfeit Experimental Results in Biometric Systems,
ICIAR10(II: 296-305).
Springer DOI 1006
BibRef
And:
Secure Iris Recognition Based on Local Intensity Variations,
ICIAR10(II: 266-275).
Springer DOI 1006
BibRef

Rathgeb, C.[Christian], Uhl, A.[Andreas],
Statistical attack against fuzzy commitment scheme,
IET-Bio(1), No. 2, June 2012, pp. 94-104.
DOI Link 1305
BibRef
And:
Statistical attack against iris-biometric fuzzy commitment schemes,
Biometrics11(23-30).
IEEE DOI 1106
BibRef
Earlier:
Adaptive fuzzy commitment scheme based on iris-code error analysis,
EUVIP10(41-44).
IEEE DOI 1110
BibRef
Earlier:
Systematic Construction of Iris-Based Fuzzy Commitment Schemes,
ICB09(940-949).
Springer DOI 0906
BibRef

Rathgeb, C.[Christian], Uhl, A.[Andreas], Wild, P.[Peter],
Iris-Biometric Fuzzy Commitment Schemes under Image Compression,
CIARP13(II:374-381).
Springer DOI 1311
BibRef
Earlier: A1, A2, Only:
Iris-Biometric Fuzzy Commitment Schemes under Signal Degradation,
ICISP12(217-225).
Springer DOI 1208
BibRef

Hämmerle-Uhl, J., Prähauser, C., Starzacher, T., Uhl, A.[Andreas],
Improving Compressed Iris Recognition Accuracy Using JPEG2000 RoI Coding,
ICB09(1102-1111).
Springer DOI 0906
BibRef

Fairhurst, M.C., Erbilek, M.,
Analysis of physical ageing effects in iris biometrics,
IET-CV(5), No. 6, 2011, pp. 358-366.
DOI Link 1112
BibRef

Boukhari, A.[Aissa], Chitroub, S.[Salim], Bouraoui, I.[Imen],
Biometric Signature of Private Key by Reliable Iris Recognition Based on Flexible-ICA Algorithm,
IJCNS(4), No. 12A, December 2011, pp. 778-789.
DOI Link 1201
BibRef

Tsai, C.C., Lin, H.Y., Taur, J., Tao, C.W.,
Iris Recognition Using Possibilistic Fuzzy Matching on Local Features,
SMC-B(42), No. 1, February 2012, pp. 150-162.
IEEE DOI 1201
BibRef

Proença, H.[Hugo], Santos, G.[Gil],
Fusing color and shape descriptors in the recognition of degraded iris images acquired at visible wavelengths,
CVIU(116), No. 2, February 2012, pp. 167-178.
Elsevier DOI 1201
Iris recognition; Biometrics; Security and surveillance; Forensics; Visible-light data BibRef

Santos, G.[Gil], Hoyle, E.[Edmundo],
A fusion approach to unconstrained iris recognition,
PRL(33), No. 8, 1 June 2012, pp. 984-990.
Elsevier DOI 1204
Nonideal iris images; Iris recognition; Unconstrained biometrics; Decision fusion BibRef

Li, P.H.[Pei-Hua], Liu, X.M.[Xiao-Min], Zhao, N.N.[Nan-Nan],
Weighted co-occurrence phase histogram for iris recognition,
PRL(33), No. 8, 1 June 2012, pp. 1000-1005.
Elsevier DOI 1204
Iris recognition; Weighted co-occurrence phase histogram (WCPH); Image registration; Bhattacharyya distance BibRef

da Costa, R.M., Gonzaga, A.,
Dynamic Features for Iris Recognition,
SMC-B(42), No. 4, August 2012, pp. 1072-1082.
IEEE DOI 1208
BibRef

Tallapragada, V.V.S., Rajan, E.G.,
Improved kernel-based IRIS recognition system in the framework of support vector machine and hidden markov model,
IET-IPR(6), No. 6, 2012, pp. 661-667.
DOI Link 1210
BibRef

Lee, Y.Y.[Yoo-Young], Filliben, J.J.[James J.], Micheals, R.J.[Ross J.], Phillips, P.J.[P. Jonathon],
Sensitivity analysis for biometric systems: A methodology based on orthogonal experiment designs,
CVIU(117), No. 5, May 2013, pp. 532-550.
Elsevier DOI 1303
Sensitivity analysis; Iris recognition; Biometrics; Experiment design; VASIR; Video-based biometric system; Orthogonal; Fractional factorial; Characterization; Uncertainty BibRef

Lee, Y.Y.[Yoo-Young], Micheals, R.J.[Ross J.], Phillips, P.J.[P. Jonathon],
Improvements in Video-based Automated System for Iris Recognition (VASIR),
WMVC09(1-8).
IEEE DOI 0912
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An Automated Video-Based System for Iris Recognition,
ICB09(1160-1169).
Springer DOI 0906
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Fernandes Costa Filho, C.F.[Cicero Ferreira], Martins Pinheiro, C.F.[Claudio Franklin], Fernandes Costa, M.G.[Marly Guimaraes], de Albuquerque Pereira, W.C.[Wagner Coelho],
Applying a novelty filter as a matching criterion to iris recognition for binary and real-valued feature vectors,
SIViP(7), No. 2, March 2013, pp. 287-296.
WWW Link. 1303
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Zhou, Z.[Zhi], Du, E.Y.[Eliza Y.], Thomas, N.L.[N. Luke], Delp, E.J.[Edward J.],
A comprehensive multimodal eye recognition,
SIViP(7), No. 4, July 2013, pp. 619-631.
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Liang, J.L.[Jun-Li], Zhang, M.[Miaohua], Liu, D.[Ding], Zeng, X.J.[Xian-Ju], Ojowu, O., Zhao, K.[Kexin], Li, Z.[Zhan], Liu, H.[Han],
Robust Ellipse Fitting Based on Sparse Combination of Data Points,
IP(22), No. 6, 2013, pp. 2207-2218.
IEEE DOI 1307
data point sparse combination; edge detection; Iris recognition BibRef

Raffei, A.F.M.[Anis Farihan Mat], Asmuni, H.[Hishammuddin], Hassan, R.[Rohayanti], Othman, R.M.[Razib M.],
Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transform,
PR(46), No. 10, October 2013, pp. 2622-2633.
Elsevier DOI 1306
Local radon transform; Iris recognition; Feature extraction; Non-cooperative environment; Visible iris BibRef

Yano, V.[Vitor], Ling, L.L.[Lee Luan], Zimmer, A.[Alessandro],
Biometric Authentication Based on Pupillary Light Reflex Using Neural Networks,
ICIAR13(89-96).
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BibRef
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Feature-domain super-resolution for iris recognition,
CVIU(117), No. 10, 2013, pp. 1526-1535.
Elsevier DOI 1309
BibRef ICIP11(3197-3200).
IEEE DOI 1201
BibRef
Earlier:
Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move,
IVCNZ10(1-8).
IEEE DOI 1203
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And: A1, A3, A4, A2:
Feature-domain super-resolution framework for Gabor-based face and iris recognition,
CVPR12(2642-2649).
IEEE DOI 1208
Super-resolution BibRef

Panda, A.C.[Anukul Chandra], Mehrotra, H.[Hunny], Majhi, B.[Banshidhar],
Parallel geometric hashing for robust iris indexing,
RealTimeIP(8), No. 3, September 2013, pp. 341-349.
Springer DOI 1309
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Zhao, Z., Kumar, A.,
Towards More Accurate Iris Recognition Using Deeply Learned Spatially Corresponding Features,
ICCV17(3829-3838)
IEEE DOI 1802
BibRef
Earlier:
An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model,
ICCV15(3828-3836)
IEEE DOI 1602
feature extraction, iris recognition, learning (artificial intelligence), accurate iris recognition, . Databases BibRef

Tan, C.W.[Chun-Wei], Kumar, A.,
Accurate Iris Recognition at a Distance Using Stabilized Iris Encoding and Zernike Moments Phase Features,
IP(23), No. 9, September 2014, pp. 3962-3974.
IEEE DOI 1410
face recognition BibRef

Radu, P.[Petru],
A Colour Iris Recognition System Employing Multiple Classifier Techniques,
ELCVIA(12), No. 2, 2013, pp. xx-yy.
DOI Link 1403
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Kulkarni, S.B., Kulkarni, R.B.[Raghavendrarao B.], Kulkarni, U.P., Hegadi, R.S.[Ravindra S.],
GLCM-Based Multiclass Iris Recognition Using FKNN and KNN,
IJIG(14), No. 03, 2014, pp. 1450010.
DOI Link 1410
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Rathgeb, C., Breitinger, F., Busch, C.[Christoph], Baier, H.,
On application of bloom filters to iris biometrics,
IET-Bio(3), No. 4, 2014, pp. 207-218.
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data compression BibRef

Drozdowski, P.[Pawel], Rathgeb, C.[Christian], Busch, C.[Christoph],
Bloom filter-based search structures for indexing and retrieving iris-codes,
IET-Bio(7), No. 3, May 2018, pp. 260-268.
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Biometric template protection based on Bloom filters and honey templates,
IET-Bio(6), No. 1, 2017, pp. 19-26.
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biometrics (access control) BibRef

Rathgeb, C.[Christian], Busch, C.[Christoph],
Comparing Binary Iris Biometric Templates Based on Counting Bloom Filters,
CIARP13(II:262-269).
Springer DOI 1311
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Elastic strips normalisation model for higher iris recognition performance,
IET-Bio(3), No. 4, 2014, pp. 190-197.
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image matching BibRef

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Ubiquitous iris recognition by means of mobile devices,
PRL(57), No. 1, 2015, pp. 66-73.
Elsevier DOI 1505
Biometrics BibRef

Itkis, G., Chandar, V., Fuller, B.W., Campbell, J.P., Cunningham, R.K.,
Iris Biometric Security Challenges and Possible Solutions: For your eyes only? Using the iris as a key,
SPMag(32), No. 5, September 2015, pp. 42-53.
IEEE DOI 1509
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Li, C.C.[Cheng-Cheng], Zhou, W.D.[Wei-Dong], Yuan, S.S.[Sha-Sha],
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VC(31), No. 10, October 2015, pp. 1419-1429.
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Biometric verification with eye movements: results from a long-term recording series,
IET-Bio(4), No. 3, 2015, pp. 162-168.
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cameras BibRef

Umer, S.[Saiyed], Dhara, B.C.[Bibhas Chandra], Chanda, B.[Bhabatosh],
Iris recognition using multiscale morphologic features,
PRL(65), No. 1, 2015, pp. 67-74.
Elsevier DOI 1511
Biometric BibRef

Umer, S.[Saiyed], Dhara, B.C.[Bibhas Chandra], Chanda, B.[Bhabatosh],
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VC(35), No. 9, September 2018, pp. 1327-1344.
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Wayman, J.L.,
Editorial: Two views on iris ageing,
IET-Bio(4), No. 4, 2015, pp. 191-191.
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IET-Bio(4), No. 4, 2015, pp. 192-199.
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image matching BibRef

Grother, P., Matey, J.R., Quinn, G.W.,
IREX VI: mixed-effects longitudinal models for iris ageing: response to Bowyer and Ortiz,
IET-Bio(4), No. 4, 2015, pp. 200-205.
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Quality-driven and real-time iris recognition from close-up eye videos,
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PRL(73), No. 1, 2016, pp. 13-18.
Elsevier DOI 1604
Iris recognition BibRef

Ortiz, E., Bowyer, K.W., Flynn, P.J.,
Dilation-aware enrolment for iris recognition,
IET-Bio(5), No. 2, 2016, pp. 92-99.
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Hamouchene, I.[Izem], Aouat, S.[Saliha],
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SIViP(10), No. 7, October 2016, pp. 1361-1367.
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Part based bit error analysis of iris codes,
PR(60), No. 1, 2016, pp. 306-317.
Elsevier DOI 1609
BibRef
Earlier:
Effect of Pupil Dilation and Constriction on the Distribution of Bit Errors within the Iris,
Biometrics14(40-47)
IEEE DOI 1409
Iris recognition BibRef

Ali, H.S.[Hanaa S.], Ismail, A.I.[Asmaa I.], Farag, F.A.[Fathi A.], El-Samie, F.E.A.[Fathi E. Abd],
Speeded up robust features for efficient iris recognition,
SIViP(10), No. 8, November 2016, pp. 1385-1391.
Springer DOI 1610
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DeepIris: Learning pairwise filter bank for heterogeneous iris verification,
PRL(82, Part 2), No. 1, 2016, pp. 154-161.
Elsevier DOI 1609
Biometrics BibRef

Hsieh, S.H., Li, Y.H., Tien, C.H., Chang, C.C.,
Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution,
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IEEE DOI 1612
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Lai, Y.L.[Yen-Lung], Jin, Z.[Zhe], Teoh, A.B.J.[Andrew Beng Jin], Goi, B.M.[Bok-Min], Yap, W.S.[Wun-She], Chai, T.Y.[Tong-Yuen], Rathgeb, C.[Christian],
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Elsevier DOI 1701
Iris BibRef

Deshpande, A.[Anand], Patavardhan, P.[Prashant],
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IET-Bio(6), No. 2, March 2017, pp. 108-116.
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IET-Bio(6), No. 5, September 2017, pp. 360-368.
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Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics,
IET-Bio(6), No. 2, March 2017, pp. 89-96.
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Hu, Y.[Yang], Sirlantzis, K.[Konstantinos], Howells, G.[Gareth],
A novel iris weight map method for less constrained iris recognition based on bit stability and discriminability,
IVC(58), No. 1, 2017, pp. 168-180.
Elsevier DOI 1703
Iris recognition BibRef

Trokielewicz, M.[Mateusz], Czajka, A.[Adam], Maciejewicz, P.[Piotr],
Implications of ocular pathologies for iris recognition reliability,
IVC(58), No. 1, 2017, pp. 158-167.
Elsevier DOI 1703
Iris recognition BibRef

Rattani, A.[Ajita], Derakhshani, R.[Reza],
Ocular biometrics in the visible spectrum: A survey,
IVC(59), No. 1, 2017, pp. 1-16.
Elsevier DOI 1704
Survey, Ocular Biometrics. Biometrics BibRef

Aginako, N.[Naiara], Echegaray, G.[Goretti], Martínez-Otzeta, J.M., Rodríguez, I.[Igor], Lazkano, E.[Elena], Sierra, B.[Basilio],
Iris matching by means of Machine Learning paradigms: A new approach to dissimilarity computation,
PRL(91), No. 1, 2017, pp. 60-64.
Elsevier DOI 1609
BibRef
Earlier: A1, A3, A4, A5, A6, Only:
Machine Learning approach to dissimilarity computation: Iris matching,
ICPR16(170-175)
IEEE DOI 1705
Image edge detection, Iris recognition, Training, Image, Processing BibRef

Damer, N.[Naser], Terhörst, P.[Philipp], Braun, A.[Andreas], Kuijper, A.[Arjan],
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SPLetters(24), No. 8, August 2017, pp. 1233-1237.
IEEE DOI 1708
BibRef
And:
Indexing of Single and Multi-instance Iris Data Based on LSH-Forest and Rotation Invariant Representation,
CAIP17(II: 190-201).
Springer DOI 1708
database management systems, error analysis, iris recognition, CASIA, ISYN1 iris database, binary iris representation, biometric characteristics, biometric systems, high-performing iris representations, BibRef

Ramya, M., Krishnaveni, V., Sridharan, K.S.,
Certain investigation on iris image recognition using hybrid approach of Fourier transform and Bernstein polynomials,
PRL(94), No. 1, 2017, pp. 154-162.
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False, acceptance, rate BibRef

El-Yaagoubi, M., Mora-Jiménez, I., Rojo-Álvarez, J.L., Jabrane, Y., Pareja-Grande, J.A.,
Extended iris color features analysis and cluster headache diagnosis based on support vector classifier,
ISCV17(1-4)
IEEE DOI 1710
Error probability, Image color analysis, Iris, Pain, Pigmentation, Static VAr compensators, Support vector machines, Cluster Headache Diagnosis, Color Features, Iris Color, Support, BibRef

Kihal, N.[Nassima], Chitroub, S.[Salim], Polette, A.[Arnaud], Brunette, I.[Isabelle], Meunier, J.[Jean],
Efficient multimodal ocular biometric system for person authentication based on iris texture and corneal shape,
IET-Bio(6), No. 6, November 2017, pp. 379-386.
DOI Link 1711
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Garea-Llano, E.[Eduardo], García-Vázquez, M.S.[Mireya Saraí], Colores-Vargas, J.M.[Juan M.], Zamudio-Fuentes, L.M.[Luis M.], Acosta, A.A.R.[Alejandro A. Ramírez],
Optimized robust multi-sensor scheme for simultaneous video and image iris recognition,
PRL(101), No. 1, 2018, pp. 44-51.
Elsevier DOI 1801
Iris multi-sensor scheme BibRef

Zamudio-Fuentes, L.M.[Luis Miguel], García-Vázquez, M.S.[Mireya S.], Ramírez-Acosta, A.A.[Alejandro Alvaro],
Local Quality Method for the Iris Image Pattern,
CIARP11(79-88).
Springer DOI 1111
BibRef

Ahmadi, N.[Neda], Akbarizadeh, G.[Gholamreza],
Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO,
IET-Bio(7), No. 2, March 2018, pp. 153-162.
DOI Link 1802
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Riesen, K., Hanne, T., Schmidt, R.,
Sketch-Based User Authentication With a Novel String Edit Distance Model,
SMCS(48), No. 3, March 2018, pp. 460-472.
IEEE DOI 1802
Authentication, Cybernetics, Feature extraction, Forgery, Iris recognition, Knowledge based systems, Graphical passwords, user authentication BibRef

Majd, B.[Bellaaj],
Uncertainty Theories Based Iris Recognition System,
ELCVIA(16), No. 2, 2017, pp. 29-32.
DOI Link 1804
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Kuehlkamp, A.[Andrey], Bowyer, K.W.[Kevin W.],
Found a Good Match: Should I Keep Searching?: Accuracy and Performance in Iris Matching Using 1-to-First Search,
IVC(73), 2018, pp. 17-27.
Elsevier DOI 1805
Biometrics, Iris recognition, Error rates, Identification, Accuracy, Search, 1:First, 1:N, Open-set BibRef

Rathgeb, C.[Christian], Buchmann, N.[Nicolas], Hofbauer, H.[Heinz], Baier, H.[Harald], Uhl, A.[Andreas], Busch, C.[Christoph],
Methods for accuracy-preserving acceleration of large-scale comparisons in CPU-based iris recognition systems,
IET-Bio(7), No. 4, July 2018, pp. 356-364.
DOI Link 1807
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Khalaf, E.T.[Emad Taha], Mohammad, M.N.[Muamer N.], Moorthy, K.[Kohbalan],
Robust partitioning and indexing for iris biometric database based on local features,
IET-Bio(7), No. 6, November 2018, pp. 589-597.
DOI Link 1811
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Liu, X.N.[Xiao-Nan], Bai, Y.C.[Yu-Chen], Luo, Y.W.[Yu-Wen], Yang, Z.W.[Zheng-Wei], Liu, Y.[Yan],
Iris recognition in visible spectrum based on multi-layer analogous convolution and collaborative representation,
PRL(117), 2019, pp. 66-73.
Elsevier DOI 1901
Mobile iris recognition, Multi-layer analogous convolutional structure, High intra-class difference BibRef

Venkatesh, S., Ramachandra, R., Raja, K., Busch, C.,
A New Multi-spectral Iris Acquisition Sensor for Biometric Verification and Presentation Attack Detection,
CDBR19(47-54)
IEEE DOI 1902
Iris recognition, Lighting, Databases, Switches, Image capture, Cameras, Image segmentation BibRef

Hofbauer, H.[Heinz], Jalilian, E.[Ehsaneddin], Uhl, A.[Andreas],
Exploiting superior CNN-based iris segmentation for better recognition accuracy,
PRL(120), 2019, pp. 17-23.
Elsevier DOI 1904
CNN, Iris segmentation, Iris biometrics, Parameterization of iris masks BibRef

Jalilian, E.[Ehsaneddin], Karakaya, M.[Mahmut], Uhl, A.[Andreas],
CNN-based off-angle iris segmentation and recognition,
IET-Bio(10), No. 5, 2021, pp. 518-535.
DOI Link 2109
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Daugman, J.[John], Downing, C.[Cathryn],
Radial correlations in iris patterns, and mutual information within IrisCodes,
IET-Bio(8), No. 3, May 2019, pp. 185-189.
DOI Link 1904
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Czajka, A., Trokielewicz, M., Maciejewicz, P.,
The Eyes have it: New iris-recognition techniques can tell whether an Eye is healthy, diseased: or dead,
Spectrum(56), No. 09, September 2019, pp. 44-49.
IEEE DOI 1909
BibRef

Aparna, P.[Puvvadi], Kishore, P.V.V.,
An iris biometric-based dual encryption technique for medical image in e-healthcare application,
IJCVR(10), No. 1, 2020, pp. 1-20.
DOI Link 2001
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Trokielewicz, M.[Mateusz], Czajka, A.[Adam], Maciejewicz, P.[Piotr],
Post-mortem iris recognition with deep-learning-based image segmentation,
IVC(94), 2020, pp. 103866.
Elsevier DOI 2003
Biometrics, Iris recognition, Post-mortem, Image segmentation BibRef

Boyd, A.[Aidan], Moreira, D.[Daniel], Kuehlkamp, A.[Andrey], Bowyer, K.W.[Kevin W.], Czajka, A.[Adam],
Human Saliency-Driven Patch-based Matching for Interpretable Post-Mortem Iris Recognition,
Explain-Bio23(701-710)
IEEE DOI 2302
Training, Visualization, Forensics, Biological system modeling, Source coding, Machine learning, Feature extraction BibRef

Kuehlkamp, A.[Andrey], Boyd, A.[Aidan], Czajka, A.[Adam], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.], Chute, D.[Dennis], Benjamin, E.[Eric],
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition,
Explain-Bio22(359-368)
IEEE DOI 2202
Learning systems, Knowledge engineering, Visualization, Codes, Forensics, Pipelines, Inspection BibRef

Nguyen, K.[Kien], Fookes, C.[Clinton], Sridharan, S.[Sridha],
Constrained Design of Deep Iris Networks,
IP(29), 2020, pp. 7166-7175.
IEEE DOI 2007
Iris recognition, Computer architecture, Computational modeling, Network architecture, Optimization, Search problems, constrained deep network design BibRef

Cantoni, V.[Virginio], Cascone, L.[Lucia], Nappi, M.[Michele], Porta, M.[Marco],
Demographic classification through pupil analysis,
IVC(102), 2020, pp. 103980.
Elsevier DOI 2010
Biometrics, Pupil analysis, Gaze analysis BibRef

Cascone, L.[Lucia], Medaglia, C.[Carlo], Nappi, M.[Michele], Narducci, F.[Fabio],
Pupil size as a soft biometrics for age and gender classification,
PRL(140), 2020, pp. 238-244.
Elsevier DOI 2012
Pupil size dilation analysis, Soft biometrics, Binary classification, Age classification, Gender classification BibRef

Singh, A.[Avantika], Arora, A.[Ashish], Nigam, A.[Aditya],
Cancelable Iris template generation by aggregating patch level ordinal relations with its holistically extended performance and security analysis,
IVC(104), 2020, pp. 104017.
Elsevier DOI 2012
Ordinal measures, BioHashing, 2 discretized BioPhasor, Cancelability, Security analysis (unlinkability, Revocability, Aggregation learning BibRef

Boutros, F.[Fadi], Damer, N.[Naser], Raja, K.[Kiran], Ramachandra, R.[Raghavendra], Kirchbuchner, F.[Florian], Kuijper, A.[Arjan],
Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation,
IVC(104), 2020, pp. 104007.
Elsevier DOI 2012
Biometrics, Head mounted displays, Periocular, Iris, Verification and authentication BibRef

Donida Labati, R., Genovese, A.[Angelo], Piuri, V.[Vincenzo], Scotti, F.[Fabio], Vishwakarma, S.[Sarvesh],
I-SOCIAL-DB: A labeled database of images collected from websites and social media for Iris recognition,
IVC(105), 2021, pp. 104058.
Elsevier DOI 2101
Dataset, Iris. Biometrics, Iris, Web images BibRef

Chen, Y.F.[Yi-Feng], Wu, C.[Cheng], Wang, Y.M.[Yi-Ming],
Whether normalized or not? Towards more robust iris recognition using dynamic programming,
IVC(107), 2021, pp. 104112.
Elsevier DOI 2103
Iris recognition, Dynamic programming, Partial convolution, Normalization BibRef

Conti, V.[Vincenzo], Rundo, L.[Leonardo], Militello, C.[Carmelo], Salerno, V.M.[Valerio Mario], Vitabile, S.[Salvatore], Siniscalchi, S.M.[Sabato Marco],
A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison,
IET-Bio(10), No. 1, 2021, pp. 44-64.
DOI Link 2106
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Melek, M.[Michael], Abu-Elyazeed, M.F.[Mohamed F.], Khattab, A.[Ahmed],
Efficient high-speed framework for sparse representation-based iris recognition,
IET-Bio(10), No. 3, 2021, pp. 304-314.
DOI Link 2106
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Parzianello, L.[Lucas], Czajka, A.[Adam],
Saliency-Guided Textured Contact Lens-Aware Iris Recognition,
BioAttack22(330-337)
IEEE DOI 2202
Image segmentation, Matched filters, Computational modeling, Neural networks, Manuals, Feature extraction, Reliability BibRef

Wei, J.Z.[Jian-Ze], Wang, Y.L.[Yun-Long], Li, Y.[Yi], He, R.[Ran], Sun, Z.A.[Zhen-An],
Cross-Spectral Iris Recognition by Learning Device-Specific Band,
CirSysVideo(32), No. 6, June 2022, pp. 3810-3824.
IEEE DOI 2206
Iris recognition, Imaging, Performance evaluation, Face recognition, Sun, Loss measurement, Kernel, Iris recognition, adversarial strategy BibRef

Sun, J.[Jie], Zhao, S.P.[Shi-Peng], Miao, S.[Sheng], Wang, X.[Xuan], Yu, Y.N.[Ya-Nan],
Open-set iris recognition based on deep learning,
IET-IPR(16), No. 9, 2022, pp. 2361-2372.
DOI Link 2206
BibRef

Mohammed, R.T.[Reend Tawfik], Kaur, H.[Harleen], Alankar, B.[Bhavya], Chauhan, R.[Ritu],
Recognition of human Iris for biometric identification using Daugman's method,
IET-Bio(11), No. 4, 2022, pp. 304-313.
DOI Link 2207
Daugman's algorithm, hamming distance, iris recognition, normalisation, segmentation BibRef

Ozbilgin, F.[Ferdi], Kurnaz, C.[Cetin],
An alternative approach for determining the cholesterol level: Iris analysis,
IJIST(32), No. 4, 2022, pp. 1159-1171.
DOI Link 2207
cholesterol, image processing, iris, sodium ring BibRef

Nguyen, K.[Kien], Fookes, C.[Clinton], Sridharan, S.[Sridha], Ross, A.[Arun],
Complex-Valued Iris Recognition Network,
PAMI(45), No. 1, January 2023, pp. 182-196.
IEEE DOI 2212
Iris recognition, Representation learning, Standards, Deep learning, Neural networks, Feature extraction, Shape, complex-valued networks BibRef

Balashanmugam, T.[Thiyaneswaran], Sengottaiyan, K.[Kumarganesh], Kulandairaj, M.S.[Martin Sagayam], Dang, H.[Hien],
An effective model for the iris regional characteristics and classification using deep learning alex network,
IET-IPR(17), No. 1, 2023, pp. 227-238.
DOI Link 2301
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Lin, K.C.[Kuo-Chun], Chen, Y.M.[Yen-Ming],
A High-Security-Level Iris Recognition System Based on Multi-Scale Dominating Feature Points,
SPLetters(31), 2024, pp. 1600-1604.
IEEE DOI 2406
Iris recognition, Security, Feature extraction, Parity check codes, Benchmark testing, Databases, Biometrics (access control), template protection BibRef

Tapia, J.[Juan], Busch, C.[Christoph],
Classify NIR Iris Images Under Alcohol/drugs/sleepiness Conditions Using a Siamese Network,
CIARP23(I:575-588).
Springer DOI 2312
BibRef

Zhou, Z.Y.[Zhi-Yong], Liu, Y.[Yuanning], Zhu, X.D.[Xiao-Dong], Liu, S.[Shuai], Zhang, S.Q.[Shao-Qiang], Liu, Z.[Zhen],
Toward More Accurate Heterogeneous Iris Recognition with Transformers and Capsules,
MMMod23(I: 28-40).
Springer DOI 2304
BibRef

Khan, S.K.[Siamul Karim], Tinsley, P.[Patrick], Czajka, A.[Adam],
DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation,
WACV23(900-908)
IEEE DOI 2302
Deformable models, Shape, Biological system modeling, Source coding, Forensics, Computational modeling, Data models, and un-supervised learning) BibRef

Zhu, F.[Feng], Shen, P.S.[Pei-Song], Chen, K.[Kaini], Ma, Y.C.[Yu-Cheng], Chen, C.[Chi],
A Secure and Practical Sample-then-lock Scheme for Iris Recognition,
ICPR22(833-839)
IEEE DOI 2212
Codes, Force, Resists, Stability analysis, Entropy, Cryptography BibRef

Rieger, M.[Martin], Hämmerle-Uhl, J.[Jutta], Uhl, A.[Andreas],
Security Assessment of Selectively Encrypted Visual Data: Iris Recognition on Protected Samples,
ICIP21(3008-3012)
IEEE DOI 2201
Legged locomotion, Image quality, Visualization, Correlation, Sensitivity, Image recognition, visual data encryption, iris recognition BibRef

Naranpanawa, D.N.U.[D. Nathasha U.], Gu, Y.Y.[Yan-Yang], Chandra, S.S.[Shekhar S.], Betz-Stablein, B.[Brigid], Sturm, R.A.[Richard A.], Soyer, H.P.[H. Peter], Eriksson, A.P.[Anders P.],
Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma,
DICTA21(1-8)
IEEE DOI 2201
Performance evaluation, Iris, Malignant tumors, Computational modeling, Object detection, Predictive models, pigmented iris freckles BibRef

Yang, K.[Kai], Xu, Z.H.[Zi-Hao], Fei, J.J.[Jing-Jing],
DualSANet: Dual Spatial Attention Network for Iris Recognition,
WACV21(888-896)
IEEE DOI 2106
Deep learning, Fuses, Computer architecture, Network architecture, Feature extraction BibRef

Jalilian, E.[Ehsaneddin], Hofbauer, H.[Heinz], Uhl, A.[Andreas],
Deep Iris Compression,
IWBDAF20(470-485).
Springer DOI 2103
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Iovane, G.[Gerardo], Rapuano, A.[Antonio], di Gironimo, P.[Patrizia],
Blockchain-based Iris Authentication in Order to Secure Iot Access and Digital Money Spending,
IWBDAF20(427-441).
Springer DOI 2103
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Chakraborty, M., Roy, M., Biswas, P.K., Mitra, P.,
Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data,
ICIP20(1351-1355)
IEEE DOI 2011
Iris recognition, Iris, Training, Machine learning, Feature extraction, Image reconstruction, Iris Recognition, Lightweight BibRef

Trokielewicz, M., Czajka, A., Maciejewicz, P.,
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes,
WACV20(2296-2304)
IEEE DOI 2006
Iris recognition, Kernel, Training, Image segmentation, Convolutional codes, Biological system modeling, Data models BibRef

Shekar, B.H., Bhat, S.S., Maysuradze, A.,
Reliability Index for Iris Code Matching in Iris Recognition Systems,
PTVSBB19(197-202).
DOI Link 1912
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Protsenko, M.A., Pavelyeva, E.A.,
Iris Image Key Points Descriptors Based On Phase Congruency,
PTVSBB19(167-171).
DOI Link 1912
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Špetlík, R.[Radim], Razumenic, I.[Ivan],
Iris Verification with Convolutional Neural Network and Unit-Circle Layer,
GCPR19(274-287).
Springer DOI 1911
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Cohen, F.[Fernand], Sowmithran, S.[Sowrirajan], Li, C.X.[Chen-Xi],
Iris Identification in 3D,
SCIA19(324-335).
Springer DOI 1906
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Czajka, A., Moreira, D., Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition,
WACV19(959-967)
IEEE DOI biometrics (access control), feature extraction, image classification, image representation, image texture, Pipelines BibRef 1900

Reddy, N., Noor, D.F., Li, Z., Derakhshani, R.,
Multi-frame Super Resolution for Ocular Biometrics,
Biometrics18(566-5668)
IEEE DOI 1812
Biometrics (access control), Image resolution, Cameras, Feature extraction, Interpolation, Mathematical model, Biological system modeling BibRef

Jenadeleh, M., Pedersen, M., Saupe, D.,
Realtime Quality Assessment of Iris Biometrics Under Visible Light,
Biometrics18(556-55609)
IEEE DOI 1812
Iris recognition, Image quality, Image segmentation, Nonlinear distortion, Distortion measurement, Feature extraction BibRef

Lee, D., Lee, S.H., Cho, N.I.,
Cancelable Biometrics Using Noise Embedding,
ICPR18(3390-3395)
IEEE DOI 1812
Transforms, Authentication, Iris recognition, Media, Bioinformatics, Training BibRef

Shekar, B.H., Bhat, S.S.,
Multi-patches Iris Based Person Authentication System Using Particle Swarm Optimization And Fuzzy C-means Clustering,
PTVSBB17(243-249).
DOI Link 1805
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Odinokikh, G., Fartukov, A., Korobkin, M., Yoo, J.,
Feature Vector Construction Method for Iris Recognition,
PTVSBB17(233-236).
DOI Link 1805
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Chigrinskiy, V.V., Matveev, I.A.,
Accuracy Estimation of the Optical Flow Methods in the Iris Structure Motion Analysis Via Controlled Deformations,
PTVSBB17(163-167).
DOI Link 1805
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Khastavaneh, H., Ebrahimpour-Komleh, H., Hanaee-Ahwaz, A.,
Unknown aware k nearest neighbor classifier,
IPRIA17(108-112)
IEEE DOI 1712
face recognition, image classification, iris recognition, visual databases, 5-fold cross validation, Iris dataset, unknown instances BibRef

Abate, A.F.[Andrea Francesco], Barra, S.[Silvio], Fenu, G.[Gianni], Nappi, M.[Michele], Narducci, F.[Fabio],
A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images,
CIAP17(II:93-103).
Springer DOI 1711
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Proença, H.[Hugo], Neves, J.C.[João C.],
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data,
CVPR17(6747-6756)
IEEE DOI 1711
Image registration, Image segmentation, Iris, Iris recognition, Strain, BibRef

Alonso-Fernandez, F., Farrugia, R.A., Bigun, J.,
Iris Super-Resolution Using Iterative Neighbor Embedding,
Biometrics17(655-663)
IEEE DOI 1709
Databases, Image reconstruction, Image resolution, Iris, Iris recognition, Manifolds, Training BibRef

Nedelcu, T.[Tudor], Thavalengal, S.[Shejin], Costache, C.[Claudia], Corcoran, P.[Peter],
Pupil Light Reflex Mitigation Using Non-linear Image Warping,
IbPRIA17(304-312).
Springer DOI 1706
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Aginako, N., Martínez-Otzerta, J.M., Sierra, B., Castrillón-Santana, M., Lorenzo-Navarro, J.,
Local descriptors fusion for mobile iris verification,
ICPR16(165-169)
IEEE DOI 1705
Feature extraction, Histograms, Image segmentation, Iris, Iris recognition, Mobile communication, Proposals BibRef

Abate, A., Barra, S., Gallo, L., Narducci, F.,
SKIPSOM: Skewness kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices,
ICPR16(155-159)
IEEE DOI 1705
Image segmentation, Iris, Iris recognition, Mobile handsets, Neurons, Self-organizing, feature, maps BibRef

Ahuja, K., Bose, A., Nagar, S., Dey, K., Barbhuiya, F.,
ISURE: User authentication in mobile devices using ocular biometrics in visible spectrum,
ICIP16(335-339)
IEEE DOI 1610
Biological system modeling BibRef

Rattani, A., Derakhshani, R., Saripalle, S.K., Gottemukkula, V.,
ICIP 2016 competition on mobile ocular biometric recognition,
ICIP16(320-324)
IEEE DOI 1610
Biomedical imaging BibRef

Gangwar, A., Joshi, A.,
DeepIrisNet: Deep iris representation with applications in iris recognition and cross-sensor iris recognition,
ICIP16(2301-2305)
IEEE DOI 1610
Computer architecture BibRef

Wang, Z.[Zairan], Dong, J.[Jing], Wang, W.[Wei], Tan, T.N.[Tie-Niu],
Effects of Fragile and Semi-fragile Watermarking on Iris Recognition System,
IWDW14(174-186).
Springer DOI 1602
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Yang, G.L.[Guang-Lei], Zeng, H.[Hui], Li, P.H.[Pei-Hua], Zhang, L.[Lei],
High-order information for robust iris recognition under less controlled conditions,
ICIP15(4535-4539)
IEEE DOI 1512
Fisher vector (FV) BibRef

Chacón-Cabrera, Y.[Yasser], Zhang, M.[Man], Garea-Llano, E.[Eduardo], Sun, Z.A.[Zhen-An],
Iris Texture Description Using Ordinal Co-occurrence Matrix Features,
CIARP15(184-191).
Springer DOI 1511
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Pinheiro, H.M.[Hedenir Monteiro], da Costa, R.M.[Ronaldo Martins], Camilo, E.N.R.[Eduardo Nery Rossi], da Silva Soares, A.[Anderson], Salvini, R.[Rogerio], Laureano, G.T.[Gustavo Teodoro], Soares, F.A.[Fabrizzio Alphonsus], Hua, G.[Gang],
A New Approach to Detect Use of Alcohol Through Iris Videos Using Computer Vision,
CIAP15(II:598-608).
Springer DOI 1511
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Luz, E.[Eduardo], Menotti, D.[David],
Denoising Autoencoder for Iris Recognition in Noncooperative Environments,
CIARP15(200-207).
Springer DOI 1511
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Nigam, A.[Aditya], Kumar, B.[Balender], Triyar, J.[Jyoti], Gupta, P.[Phalguni],
Iris Recognition Using Discrete Cosine Transform and Relational Measures,
CAIP15(II:506-517).
Springer DOI 1511
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Kalka, N.D.[Nathan D.], Bartlow, N.[Nick], Cukic, B.[Bojan], Ross, A.A.[Arun A.],
A preliminary study on identifying sensors from iris images,
Biometrics15(50-56)
IEEE DOI 1510
Correlation; Iris; Printing; Transform coding BibRef

Yoo, J.H.[Jang-Hee], Kang, B.J.[Byung Jun],
A simply integrated dual-sensor based non-intrusive iris image acquisition system,
PBVS15(113-117)
IEEE DOI 1510
Cameras BibRef

Arias, P.A.[Pablo A.], Shelton, J.[Joseph], Roy, K.[Kaushik], Ahmad, F.[Foysal], Dozier, G.V.[Gerry V.],
Micro Genetic and Evolutionary Feature Extraction: An Exploratory Data Analysis Approach for Multispectral Iris Recognition,
ICIAR15(178-185).
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Multispectral Iris Recognition Using Patch Based Game Theory,
ICIAR14(II: 112-119).
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Mahadeo, N.[Nitin], Paplinski, A.[Andrew], Ray, S.[Sid],
Optimization of Iris Codes for Improved Recognition,
Biometrics14(48-55)
IEEE DOI 1409
Biometrics;Iris Code;Iris recognition;Matching;Performance BibRef

Chen, Q.[Qian], Matsumoto, K., Wu, H.Y.[Hai-Yuan],
An Iris Outline Tracker: For Various Eye Shapes in a Single Video Camera without Infrared Illumination,
ACPR13(862-866)
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eye BibRef

Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Are Haar-Like Rectangular Features for Biometric Recognition Reducible?,
CIARP13(II:334-341).
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Porro-Muñoz, D.[Dania], Silva-Mata, F.J.[Francisco José], Mendiola-Lau, V.[Victor], Hernández, N.[Noslen],
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Nigam, A.[Aditya], Gupta, P.[Phalguni],
Iris Recognition Using Consistent Corner Optical Flow,
ACCV12(I:358-369).
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Iris recognition using ordinal encoding of Log-Euclidean covariance matrices,
ICPR12(2420-2423).
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Zhang, H.[Hui], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu], Wang, J.Y.[Jian-Yu],
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ICPR12(3427-3430).
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Iris recognition using quaternionic sparse orientation code (QSOC),
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Ming, X.[Xing], Xu, T.[Tao], Wang, Z.X.[Zheng-Xuan],
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Lee, P.S.[Peik Shyan], Ewe, H.T.[Hong Tat],
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Xiao, L.[Lihu], Sun, Z.A.[Zhen-An], He, R.[Ran], Tan, T.N.[Tie-Niu],
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Huang, J.Z.[Jun-Zhou], Wang, Y.H.[Yun-Hong], Cui, J.L.[Jia-Li], Tan, T.N.[Tie-Niu],
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Cui, J.L.[Jia-Li], Wang, Y.H.[Yun-Hong], Huang, J.Z.[Jun-Zhou], Tan, T.N.[Tie-Niu], Sun, Z.A.[Zhen-An],
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Huang, J., Ma, L., Tan, T., Wang, Y.,
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Vigneron, V., Maaref, H., Lelandais, S.,
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Zhu, Y., Tan, T., Wang, Y.,
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See also Biometric Personal Identification Based on Handwriting. BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Periocular Biometrics .