Iridian,
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition. Part of Viisage (
See also Viisage. ), which is part of
L-1 Identity Solutions (
See also L1 Identity Solutions. ).
IriTech,
2002.
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
JIris Tech,
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
LG Iris Access,
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
Iri Scan,
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
Nextgen ID,
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
Panasonic,
2006.
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition.
Securimetrics,
2006.
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition. Part of
L-1 Identity Solutions (
See also L1 Identity Solutions. ).
UBIRIS database,
2007, Department of Computer Science, University of Beira Interior, Portugal.
WWW Link.
Dataset, Iris Images. The enhanced version is available only for the Iris Segmentation Contest.
241 subjects, 1877 images.
CASIA Iris Image Database,
2007, Chinese Academy of Sciences.
HTML Version.
Dataset, Iris Images. Various versions. Version 3.
60 subjects, 2400 images.
NIST ICE Iris Image Database,
2007, NIST.
WWW Link.
Dataset, Iris Images. 132 subjects, 2953 images.
For most recent info:
See also NIST IREX, Iris Exchange Datasets. and also
See also Iris Recognition Database.
AOptix Technoligies,
2007.
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition. Initial work in astronomy.
Sensar,
Iris recognition systems.
HTML Version.
Vendor, Iris Recognition.
Retica,
1999.
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition. More than just the iris. Combined iris and retina.
Smart Sensors Limited,
2003.
WWW Link.
Vendor, Iris Recognition. Spin off from University of Bath
See also University of of Bath.
Iris Recognition Database,
2007
HTML Version.
Dataset, Iris Images. Derived from University of Bath
See also University of of Bath. in association with
Smart Sensors Ltd.
See also Smart Sensors Limited. High resolution images, 20 each eye for 800 people.
Iris Recognition Database,
2009
HTML Version.
Dataset, Iris Images. ND-IRIS-0405. A superset of
ICE2005 and ICE2006 datasets.
(
See also NIST ICE Iris Image Database. )
64,980 iris images from 712 irises of 356 human subjects.
From the Notre Dame group.
See also University of Notre Dame. For more updates:
See also NIST IREX, Iris Exchange Datasets.
UTIRIS: University of Tehran IRIS Image Repository,
Online2014
WWW Link.
Dataset, Iris Images.
1407
Visible and Infrared.
BibRef
NIST IREX, Iris Exchange Datasets,
2020
WWW Link.
Dataset, Iris.
See also Iris Recognition Database.
Ernst, J.[Jan],
Iris Recognition Homepage,
Online Book2002.
0200
Iris recognition systems.
WWW Link.
Vendor, Iris Recognition. Includes vendors, patents, etc.
This is mostly out of date -- not realy updated since 2003.
BibRef
Wildes, R.P.,
Iris Recognition: An Emerging Biometric Technology,
PIEEE(85), No. 9, September 1997, pp. 1348-1363.
9710
Award Paper.
Survey, Iris Recognition. This paper won the 1999 Donald G. Fink award from IEEE for outstanding
survey.
BibRef
Wildes, R.P.[Richard P.],
Iris Recognition,
BSTDPE05(63095).
Survey, Iris Recognition.
BibRef
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Khanna, R.,
Prolog to Iris Recognition: An Emerging Biometric Technology,
PIEEE(85), No. 9, September 1997, pp. 1347-1347.
9710
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Cambier, J.L.[James L.],
Iris imaging telephone security module and method,
US_Patent6,377,699, November 25, 1998.
WWW Link.
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Cambier, J.L.[James L.],
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US_Patent6,424,727, Jul 23, 2002
WWW Link.
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Siedlarz, J.E.[John E.],
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US_Patent6,532,298, Mar 11, 2003
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McCartney, D.J.[David John],
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US_Patent6,333,988, December 2, 1998.
WWW Link.
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WWW Link.
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Lee, J.H.[James Henry],
Kuhla, C.B.[Cletus Bonaventure],
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US_Patent6,289,113, November 25, 1998.
WWW Link.
BibRef
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Ryoo, J.S.[Jang Soo],
Iris Identification System and Method of Identifying a Person
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US_Patent6,247,813, November 4, 1999.
WWW Link.
BibRef
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Cahn von Seelen, U.M.,
Zhang, G.G.,
Venetianer, P.L.,
Salganicoff, M.,
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WACV98(254-255).
IEEE DOI
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9809
See also Sensar.
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WWW Link. Sensar patent.
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Chmielewski, Jr., T.A.[Thomas A.],
Salganicoff, M.[Marcos],
Camus, T.A.[Theodore A.],
von Seelen, U.M.C.[Ulf M. Cahn],
Venetianer, P.L.[Péter L.],
Zhang, G.G.[Guanghua G.],
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Computer(21), No. 2, February 2000, pp. 70-75.
0002
(From Sensar)
BibRef
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High Confidence Visual Recognition of Persons by a
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PAMI(15), No. 11, November 1993, pp. 1148-1161.
IEEE DOI Analysis of the iris to generate an encoding that is then used
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Probing the Uniqueness and Randomness of IrisCodes:
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PIEEE(94), No. 11, November 2006, pp. 1927-1935.
IEEE DOI
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Daugman, J.G.[John G.],
Biometric personal identification system based on iris analysis,
US_Patent5,291,560, March 1, 1994.
WWW Link. Iri Scan inc.
BibRef
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Daugman, J.G.[John G.],
Statistical Richness of Visual Phase Information:
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IJCV(45), No. 1, October 2001, pp. 25-38.
DOI Link
0111
The underlying
recognition principle is the failure of a test of statistical
independence on texture phase structure as encoded by
multi-scale quadrature wavelets.
So far, no false matches.
BibRef
Daugman, J.G.,
How Iris Recognition Works,
CirSysVideo(14), No. 1, January 2004, pp. 21-30.
IEEE Abstract.
0402
BibRef
Earlier:
ICIP02(I: 33-36).
IEEE DOI
0210
Survey, Iris Recognition. Standard general description of Gabor filter technique.
BibRef
Daugman, J.G.[John G.],
The importance of being random: statistical principles of iris
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PR(36), No. 2, February 2003, pp. 279-291.
Elsevier DOI
0211
BibRef
Daugman, J.G.[John G.],
New Methods in Iris Recognition,
SMC-B(37), No. 5, October 2007, pp. 1167-1175.
IEEE DOI
0711
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Son, S.M.[Sam Mog],
Vehicular security access system,
US_Patent6,323,761, June 3, 2000.
WWW Link.
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Mann, S.[Stewart],
Mann, L.M.[L. Maribel],
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boarding using iris recognition,
US_Patent6,119,096, Sep 12, 2000
WWW Link.
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Kawaguchi, T.[Tsuyoshi],
Rizon, M.[Mohamed],
Iris detection using intensity and edge information,
PR(36), No. 2, February 2003, pp. 549-562.
Elsevier DOI
0211
BibRef
Wayman, J.,
Jain, A.,
Maltoni, D.,
Maio, D., (Eds.)
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Technology, Design and Performance Evaluation,
Springer2005.
ISBN: 978-1-85233-596-0
Indexed as:
BibRef
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BSTDPE05
WWW Link.
Survey, Biometrics.
Buy this book: Biometric Systems: Technology, Design and Performance Evaluation
Technology overviews, Iris recognition, face recognition, Speaker Verification,
Assessments of fingerprint and face recognition, system design and
integration, legal and privacy issues,
BibRef
Dobeš, M.[Michal], and
Machala, L.[Libor],
Iris Database,
Online2006
WWW Link.
Dataset, Iris Images.
The database used for:
See also Human eye localization using the modified Hough transform.
See also Human Eye Iris Recognition Using the Mutual Information.
BibRef
0600
Yoon, S.S.[Sung-Soo],
Choi, S.S.[Seung-Seok],
Cha, S.H.[Sung-Hyuk],
Lee, Y.B.[Yill-Byung],
Tappert, C.C.[Charles C.],
On the Individuality of the Iris Biometric,
GVIP(05), No. V5, 2005, pp. xx-yy
HTML Version.
BibRef
0500
And:
ICIAR05(1118-1124).
Springer DOI
0509
BibRef
Jang, J.[Jain],
Park, K.R.[Kang Ryoung],
Son, J.H.[Jin-Ho],
Lee, Y.B.[Yill-Byung],
A study on multi-unit iris recognition,
ICARCV04(II: 1244-1249).
IEEE DOI
0412
BibRef
Phillips, P.J.[P. Jonathon],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Comments on the CASIA version 1.0 Iris Data Set,
PAMI(29), No. 10, October 2007, pp. 1869-1870.
IEEE DOI
0710
Survey, Iris Recognition.
See also CASIA Iris Image Database.
BibRef
Bowyer, K.W.[Kevin W.],
The results of the NICE.II Iris biometrics competition,
PRL(33), No. 8, 1 June 2012, pp. 965-969.
Elsevier DOI
1204
Biometrics; Iris biometrics; Performance evaluation
BibRef
Bowyer, K.W.[Kevin W.],
Hollingsworth, K.P.[Karen P.],
Flynn, P.J.[Patrick J.],
Image Understanding for Iris Biometrics: A survey,
CVIU(110), No. 2, May 2008, pp. 281-307.
Elsevier DOI
0804
Survey, Iris Recognition.
BibRef
Hollingsworth, K.P.[Karen P.],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
The Best Bits in an Iris Code,
PAMI(31), No. 6, June 2009, pp. 964-973.
IEEE DOI
0904
BibRef
Earlier:
All Iris Code Bits are Not Created Equal,
BTAS07(1-6).
IEEE DOI
0709
Evaluation to see which regions are most consistent and provide the
best information.
Primary technique for iris recogniton is a set of bits (iris code), where
each bit indicates whether a given texture filter at a given point is negative
or not.
Biometrics; Identity verification; Iris recognition; Texture analysis
BibRef
Hollingsworth, K.P.[Karen P.],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Image Averaging for Improved Iris Recognition,
ICB09(1112-1121).
Springer DOI
0906
BibRef
Hollingsworth, K.P.[Karen P.],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Improved Iris Recognition through Fusion of Hamming Distance and
Fragile Bit Distance,
PAMI(33), No. 12, December 2011, pp. 2465-2476.
IEEE DOI
1110
BibRef
Earlier:
Using fragile bit coincidence to improve iris recognition,
BTAS09(1-6).
IEEE DOI
0909
BibRef
And:
All Iris Filters are Not Created Equal,
BTAS08(1-6).
IEEE DOI
0809
Not all bits in the texture based code are equally consistent.
Fragile: changes across images.
BibRef
Newton, E.M.,
Phillips, P.J.,
Meta-Analysis of Third-Party Evaluations of Iris Recognition,
SMC-A(39), No. 1, January 2009, pp. 4-11.
IEEE DOI
0901
BibRef
Earlier:
BTAS07(1-4).
IEEE DOI
0709
See also Meta-analysis of Face Recognition Algorithms.
BibRef
Hollingsworth, K.P.[Karen P.],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Pupil dilation degrades iris biometric performance,
CVIU(113), No. 1, January 2009, pp. 150-157.
Elsevier DOI
0812
Iris biometrics; Pupil dilation
See also Image Understanding for Iris Biometrics: A survey.
BibRef
Liu, X.M.[Xiao-Mei],
Bowyer, K.W.,
Flynn, P.J.,
Experimental Evaluation of Iris Recognition,
FRGC05(III: 158-158).
IEEE DOI
0507
BibRef
Ring, S.[Sarah],
Bowyer, K.W.[Kevin W.],
Detection of Iris Texture Distortions By Analyzing Iris Code Matching
Results,
BTAS08(1-6).
IEEE DOI
0809
BibRef
Kong, A.W.K.[Adams W.K.],
Zhang, D.[David],
Kamel, M.S.[Mohamed S.],
An Analysis of IrisCode,
IP(19), No. 2, February 2010, pp. 522-532.
IEEE DOI
1002
BibRef
And:
An Anatomy of IrisCode for Precise Phase Representation,
ICPR06(IV: 429-432).
IEEE DOI
0609
BibRef
Kong, A.W.K.[Adams Wai Kin],
A Statistical Analysis of IrisCode and Its Security Implications,
PAMI(37), No. 3, March 2015, pp. 513-528.
IEEE DOI
1502
Databases
BibRef
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IrisCode Decompression Based on the Dependence between Its Bit Pairs,
PAMI(34), No. 3, March 2012, pp. 506-520.
IEEE DOI
1201
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Kong, A.W.K.[Adams Wai Kin],
Modeling IrisCode and Its Variants as Convex Polyhedral Cones and Its
Security Implications,
IP(22), No. 3, March 2013, pp. 1148-1160.
IEEE DOI
1302
BibRef
Proença, H.[Hugo],
Alexandre, L.A.[Luís A.],
Introduction to the Special Issue on the Recognition of Visible
Wavelength Iris Images Captured At-a-distance and On-the-move,
PRL(33), No. 8, 1 June 2012, pp. 963-964.
Elsevier DOI
1204
BibRef
Earlier:
Introduction to the Special Issue on the Segmentation of Visible
Wavelength Iris Images Captured At-a-distance and On-the-move,
IVC(28), No. 2, February 2010, pp. 213-214.
Elsevier DOI
1001
Issue introduction.
BibRef
Proenca, H.[Hugo],
Alexandre, L.A.[Luis A.],
Iris recognition: Analysis of the error rates regarding the accuracy of
the segmentation stage,
IVC(28), No. 1, Januray 2010, pp. 202-206.
Elsevier DOI
1001
Biometrics; Image segmentation; Iris recognition
BibRef
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Iris Recognition: The Path Forward,
Computer(43), No. 2, February 2010, pp. 30-35.
IEEE DOI
1003
Survey, Iris Recognition.
BibRef
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Dailey, M.N.[Matthew N.],
Robust iris verification for key management,
PRL(31), No. 9, 1 July 2010, pp. 926-935.
Elsevier DOI
1004
BibRef
Earlier:
Iris recognition performance enhancement using weighted majority voting,
ICIP08(277-280).
IEEE DOI
0810
Iris verification; Biometric authentication; Error-correcting codes;
Reliable bit selection; One-sided masking; Biometric key generation
BibRef
Proenca, H.[Hugo],
Filipe, S.[Silvio],
Santos, R.[Ricardo],
Oliveira, J.[Joao],
Alexandre, L.A.[Luis A.],
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured
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PAMI(32), No. 8, August 2010, pp. 1529-1535.
IEEE DOI
1007
Dataset, Iris Recognition.
WWW Link. Visible wavelength, 4-8 meters distance, people moving.
BibRef
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Passi, A.[Arun],
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PR(43), No. 3, March 2010, pp. 1016-1026.
Elsevier DOI
1001
BibRef
Earlier:
Comparison and combination of iris matchers for reliable personal
identification,
Biometrics08(1-7).
IEEE DOI
0806
BibRef
Earlier: A2, A1:
Improving Iris Identification using User Quality and Cohort Information,
Biometrics07(1-6).
IEEE DOI
0706
Iris; Biometrics; Personal authentication
BibRef
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Muse, P.[Pablo],
Almansa, A.[Andres],
Mejail, M.[Marta],
Automatically finding clusters in normalized cuts,
PR(44), No. 7, July 2011, pp. 1372-1386.
Elsevier DOI
1103
Clustering; Normalized cuts; A contrario detection
BibRef
Tepper, M.[Mariano],
Musé, P.[Pablo],
Almansa, A.[Andrés],
Mejail, M.[Marta],
Finding contrasted and regular edges by a contrario detection of
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PR(47), No. 1, 2014, pp. 72-79.
Elsevier DOI
1310
BibRef
Earlier:
Finding Edges by a Contrario Detection of Periodic Subsequences,
CIARP12(773-780).
Springer DOI
1209
Topographic maps
BibRef
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Tepper, M.[Mariano],
Mejail, M.[Marta],
A Contrario Detection of False Matches in Iris Recognition,
CIARP10(442-449).
Springer DOI
1011
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Mottalli, M.[Marcelo],
Mejail, M.[Marta],
Jacobo-Berlles, J.[Julio],
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ICIP09(1941-1944).
IEEE DOI
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Scotney, B.W.,
Morrow, P.J.,
Pierscionek, B.K.,
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PR(45), No. 1, January 2012, pp. 145-150.
Elsevier DOI
1109
Biometric identification; Iris; Pattern; Recognition; Texture
See also No change over time is shown in Rankin et al. Iris recognition failure over time: The effects of texture.
BibRef
Rankin, D.M.,
Scotney, B.W.,
Morrow, P.J.,
Pierscionek, B.K.,
Iris recognition: the need to recognise the iris as a dynamic
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PR(46), No. 2, February 2013, pp. 611-612.
Elsevier DOI
1210
Iris biometry; Texture classification; Temporal changes
BibRef
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Scotney, B.W.,
Morrow, P.J.,
McDowell, R.,
Pierscionek, B.K.,
Comparing and Improving Algorithms for Iris Recognition,
IMVIP09(99-104).
IEEE DOI
0909
BibRef
Bowyer, K.W.[Kevin W.],
Accuracy of Iris Recognition Systems Degrades with
Increase in Elapsed Time,
SPIE(Newsroom), October 4, 2012.
DOI Link
1210
Recent experimental results from two research groups show an increase
in iris recognition error rate with increased time since enrollment,
indicating a need for a re-enrollment scheme or new algorithms.
BibRef
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Bowyer, K.W.[Kevin W.], (Eds.)
Handbook of Iris Recognition,
Springer2013.
ISBN 978-1-4471-4401-4.
 
|
Daugman, J.[John],
Downing, C.[Cathryn],
No change over time is shown in Rankin et al. 'Iris recognition failure
over time: The effects of texture',
PR(46), No. 2, February 2013, pp. 609-610.
Elsevier DOI
1210
See also Iris recognition failure over time: The effects of texture.
See also Iris recognition: the need to recognise the iris as a dynamic biological system: Response to Daugman and Downing.
BibRef
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Uhl, A.[Andreas],
Wild, P.[Peter],
Iris Biometrics:
From Segmentation to Template Security,
Springer2013.
ISBN: 978-1-4614-5570-7
 
|
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Dehghani, M.J.[Mohammad Javad],
Danyali, H.[Habibolah],
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SIViP(8), No. 1, January 2014, pp. 1-10.
Springer DOI
1402
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Wayman, J.,
Book review: Handbook of Iris Recognition,
IET-Bio(3), No. 1, March 2014, pp. 41-43.
DOI Link
1406
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de Marsico, M.[Maria],
Nappi, M.[Michele],
Riccio, D.[Daniel],
Wechsler, H.[Harry],
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PRL(57), No. 1, 2015, pp. 17-23.
Elsevier DOI
1505
Iris biometric
BibRef
de Marsico, M.[Maria],
Nappi, M.[Michele],
Proença, H.[Hugo],
Guest editorial introduction to the special executable issue on
'Mobile Iris CHallenge Evaluation part I (MICHE I),
PRL(57), No. 1, 2015, pp. 1-3.
Elsevier DOI
1505
BibRef
And:
Mobile Iris CHallenge Evaluation part II (MICHE II),
PRL(91), No. 1, 2017, pp. 1-2.
Elsevier DOI
1609
BibRef
de Marsico, M.[Maria],
Nappi, M.[Michele],
Proença, H.[Hugo],
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PRL(91), No. 1, 2017, pp. 3-10.
Elsevier DOI
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Mobile, iris, recognition
BibRef
Wild, P.,
Ferryman, J.M.,
Uhl, A.,
Impact of (segmentation) quality on long vs. short-timespan
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IET-Bio(4), No. 4, 2015, pp. 227-235.
DOI Link
1601
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BibRef
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Downing, C.[Cathryn],
Searching for doppelgangers: assessing the universality of the
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IET-Bio(5), No. 2, 2016, pp. 65-75.
DOI Link
1606
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A study of how gaze angle affects the performance of iris recognition,
PRL(82, Part 2), No. 1, 2016, pp. 132-143.
Elsevier DOI
1609
Biometrics
BibRef
Othman, N.[Nadia],
Dorizzi, B.[Bernadette],
Garcia-Salicetti, S.[Sonia],
OSIRIS: An open source iris recognition software,
PRL(82, Part 2), No. 1, 2016, pp. 124-131.
Elsevier DOI
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Code, Iris Recognition. Iris recognition
BibRef
de Marsico, M.[Maria],
Petrosino, A.[Alfredo],
Ricciardi, S.[Stefano],
Iris recognition through machine learning techniques: A survey,
PRL(82, Part 2), No. 1, 2016, pp. 106-115.
Elsevier DOI
1609
Survey, Iris Recognition. Biometrics
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de Marsico, M.[Maria],
Frucci, M.[Maria],
Riccio, D.[Daniel],
An insight on eye biometrics,
PRL(82, Part 2), No. 1, 2016, pp. 89-91.
Elsevier DOI
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PRL(82, Part 2), No. 1, 2016, pp. 92-105.
Elsevier DOI
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Survey, Periocular Biometrics. Periocular
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Christopoulos, E.[Eleftherios],
Fehrenbach, K.[Kevin],
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IVC(58), No. 1, 2017, pp. 142-157.
Elsevier DOI
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Iris recognition
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Huang, D.[Da],
Zhang, B.[Bob],
Zhang, D.[David],
Improving texture analysis performance in biometrics by adjusting
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PR(66), No. 1, 2017, pp. 16-25.
Elsevier DOI
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Image sharpness
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Jillela, R.[Raghavender],
Sridharan, S.[Sridha],
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PR(72), No. 1, 2017, pp. 123-143.
Elsevier DOI
1708
Survey, Iris Recognition. Biometrics
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PR(74), No. 1, 2018, pp. 286-304.
Elsevier DOI
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Mobile, Iris, Recognition
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Castrillón-Santana, M.,
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Retinal Identification Systems and Tecniques .