Iridian,
Iris recognition systems.
WWW Version.
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 Version.
Vendor, Iris Recognition.
JIris Tech,
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition.
LG Iris Access,
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition.
Iri Scan,
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition.
Nextgen ID,
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition.
Panasonic,
2006.
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition.
Securimetrics,
2006.
Iris recognition systems.
WWW Version.
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 Version.
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 Version.
Dataset, Iris Images. 132 subjects, 2953 images.
For an update:
See also Iris Recognition Database.
AOptix Technoligies,
2007.
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition. Initial work in astronomy.
Sensar,
Iris recognition systems.
HTML Version.
Vendor, Iris Recognition.
Retica,
1999.
Iris recognition systems.
WWW Version.
Vendor, Iris Recognition. More than just the iris. Combined iris and retina.
Smart Sensors Limited,
2003.
WWW Version.
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.
Ernst, J.[Jan],
Iris Recognition Homepage,
Online Book2002.
0200
Iris recognition systems.
WWW Version.
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
0500
Shen, W.C.,
Khanna, R.,
Prolog to Iris Recognition: An Emerging Biometric Technology,
PIEEE(85), No. 9, September 1997, pp. 1347-1347.
9710
BibRef
Musgrave, C.[Clyde],
Cambier, J.L.[James L.],
Iris imaging telephone security module and method,
US_Patent6,377,699, November 25, 1998.
WWW Version.
BibRef
9811
And:
US_Patent6,483,930, Nov 19, 2002
WWW Version.
BibRef
Musgrave, C.[Clyde],
Cambier, J.L.[James L.],
System and method of animal identification and
animal transaction authorization using iris patterns,
US_Patent6,424,727, Jul 23, 2002
WWW Version.
BibRef
0207
Cambier, J.L.[James L.],
Siedlarz, J.E.[John E.],
Portable authentication device and method using iris patterns,
US_Patent6,532,298, Mar 11, 2003
WWW Version.
BibRef
0303
Seal, C.H.[Christopher Henry],
Gifford, M.M.[Maurice Merrick],
McCartney, D.J.[David John],
Personal identification,
US_Patent6,333,988, December 2, 1998.
WWW Version.
BibRef
9812
And:
US_Patent6,309,069, November 24, 1998.
WWW Version.
BibRef
McHugh, J.T.[James Timothy],
Lee, J.H.[James Henry],
Kuhla, C.B.[Cletus Bonaventure],
Handheld iris imaging apparatus and method,
US_Patent6,289,113, November 25, 1998.
WWW Version.
BibRef
9811
Kim, D.H.[Dae Hoon],
Ryoo, J.S.[Jang Soo],
Iris Identification System and Method of Identifying a Person
Through Iris Recognition,
US_Patent6,247,813, November 4, 1999.
WWW Version.
BibRef
9911
Camus, T.A.,
Cahn von Seelen, U.M.,
Zhang, G.G.,
Venetianer, P.L.,
Salganicoff, M.,
Sensar: Secure(tm) Iris Identification System,
WACV98(254-255).
IEEE Abstract.
HTML Version.
9809
See also Sensar.
BibRef
Camus, T.A.[Theodore A.],
Chmielewski, Jr., T.A.[Thomas A.],
Image subtraction to remove ambient illumination,
US_Patent6,021,210, February 1, 2000.
WWW Version. Sensar patent.
BibRef
0002
Negin, M.[Michael],
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.],
An Iris Biometric System for Public and Personal Use,
Computer(21), No. 2, February 2000, pp. 70-75.
0002
(From Sensar)
BibRef
Daugman, J.G.,
High Confidence Visual Recognition of Persons by a
Test of Statistical Independence,
PAMI(15), No. 11, November 1993, pp. 1148-1161.
IEEE Abstract.
IEEE DOI Link Analysis of the iris to generate an encoding that is then used
for recognition.
BibRef
9311
Daugman, J.G.[John G.],
Probing the Uniqueness and Randomness of IrisCodes:
Results From 200 Billion Iris Pair Comparisons,
PIEEE(94), No. 11, November 2006, pp. 1927-1935.
IEEE DOI Link
0611
BibRef
Daugman, J.G.[John G.],
Biometric personal identification system based on iris analysis,
US_Patent5,291,560, March 1, 1994.
WWW Version. Iri Scan inc.
BibRef
9403
Daugman, J.G.[John G.],
Statistical Richness of Visual Phase Information:
Update on Recognizing Persons by Iris Patterns,
IJCV(45), No. 1, October 2001, pp. 25-38.
WWW Version.
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 Abstract.
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
recognition,
PR(36), No. 2, February 2003, pp. 279-291.
WWW Version.
0211
BibRef
Daugman, J.G.[John G.],
New Methods in Iris Recognition,
SMC-B(37), No. 5, October 2007, pp. 1167-1175.
IEEE DOI Link
0711
BibRef
Son, S.M.[Sam Mog],
Vehicular security access system,
US_Patent6,323,761, June 3, 2000.
WWW Version.
BibRef
0006
Mann, S.[Stewart],
Mann, L.M.[L. Maribel],
System and method for aircraft passenger check-in and
boarding using iris recognition,
US_Patent6,119,096, Sep 12, 2000
WWW Version.
BibRef
0009
Kawaguchi, T.[Tsuyoshi],
Rizon, M.[Mohamed],
Iris detection using intensity and edge information,
PR(36), No. 2, February 2003, pp. 549-562.
WWW Version.
0211
BibRef
Wayman, J.,
Jain, A.,
Maltoni, D.,
Maio, D., (Eds.)
Biometric Systems:
Technology, Design and Performance Evaluation,
Springer2005.
ISBN: 978-1-85233-596-0
Indexed as:
BibRef
0500
BSTDPE05
WWW Version.
Survey, Biometrics.
To purchase this book look here
0905
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 Version.
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 Link
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 Link
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 Link
0710
Survey, Iris Recognition. See also CASIA Iris Image Database.
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.
WWW Version.
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 Link
0904
BibRef
Earlier:
All Iris Code Bits are Not Created Equal,
BTAS07(1-6).
IEEE DOI Link
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 Link
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 Link
1110
BibRef
Earlier:
Using fragile bit coincidence to improve iris recognition,
BTAS09(1-6).
IEEE DOI Link
0909
BibRef
And:
All Iris Filters are Not Created Equal,
BTAS08(1-6).
IEEE DOI Link
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 Link
0901
BibRef
Earlier:
BTAS07(1-4).
IEEE DOI Link
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 Link
WWW Version.
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 Link
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 Link
0809
BibRef
Proenca, H.[Hugo],
Alexandre, L.A.[Luis A.],
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 Link
WWW Version.
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 Link
WWW Version.
1001
Biometrics; Image segmentation; Iris recognition
BibRef
Ross, A.A.[Arun A.],
Iris Recognition: The Path Forward,
Computer(43), No. 2, February 2010, pp. 30-35.
IEEE DOI Link
1003
Survey, Iris Recognition.
BibRef
Ziauddin, S.[Sheikh],
Dailey, M.N.[Matthew N.],
Robust iris verification for key management,
PRL(31), No. 9, 1 July 2010, pp. 926-935.
Elsevier DOI Link
WWW Version.
1004
BibRef
Earlier:
Iris recognition performance enhancement using weighted majority voting,
ICIP08(277-280).
IEEE DOI Link
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
On-the-Move and At-a-Distance,
PAMI(32), No. 8, August 2010, pp. 1529-1535.
IEEE DOI Link
1007
Dataset, Iris Recognition.
WWW Version. Visible wavelength, 4-8 meters distance, people moving.
BibRef
Kumar, A.[Ajay],
Passi, A.[Arun],
Comparison and combination of iris matchers for reliable personal
authentication,
PR(43), No. 3, March 2010, pp. 1016-1026.
Elsevier DOI Link
WWW Version.
1001
BibRef
Earlier:
Comparison and combination of iris matchers for reliable personal
identification,
Biometrics08(1-7).
IEEE DOI Link
0806
BibRef
Earlier: A2, A1:
Improving Iris Identification using User Quality and Cohort Information,
Biometrics07(1-6).
IEEE DOI Link
0706
Iris; Biometrics; Personal authentication
BibRef
Tepper, M.[Mariano],
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 Link
WWW Version.
1103
Clustering; Normalized cuts; A contrario detection
BibRef
Mottalli, M.[Marcelo],
Tepper, M.[Mariano],
Mejail, M.[Marta],
A Contrario Detection of False Matches in Iris Recognition,
CIARP10(442-449).
Springer DOI Link
1011
BibRef
Mottalli, M.[Marcelo],
Mejail, M.[Marta],
Jacobo-Berlles, J.[Julio],
Flexible image segmentation and quality assessment for real-time iris
recognition,
ICIP09(1941-1944).
IEEE DOI Link
0911
BibRef
Rankin, D.M.,
Scotney, B.W.,
Morrow, P.J.,
Pierscionek, B.K.,
Iris recognition failure over time: The effects of texture,
PR(45), No. 1, January 2012, pp. 145-150.
Elsevier DOI Link
WWW Version.
1109
Biometric identification; Iris; Pattern; Recognition; Texture
BibRef
Rankin, D.M.,
Scotney, B.W.,
Morrow, P.J.,
McDowell, R.,
Pierscionek, B.K.,
Comparing and Improving Algorithms for Iris Recognition,
IMVIP09(99-104).
IEEE DOI Link
0909
BibRef
Connaughton, R.[Ryan],
Sgroi, A.[Amanda],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
A cross-sensor evaluation of three commercial iris cameras for iris
biometrics,
Biometrics11(90-97).
IEEE DOI Link
1106
BibRef
Mellakh, A.[Anouar],
Chaari, A.[Anis],
Guerfi, S.[Souhila],
Dhose, J.[Johan],
Colineau, J.[Joseph],
Lelandais, S.[Sylvie],
Petrovska-Delacrètaz, D.[Dijana],
Dorizzi, B.[Bernadette],
2D Face Recognition in the IV2 Evaluation Campaign,
ACIVS09(24-32).
Springer DOI Link
0909
BibRef
Petrovska-Delacretaz, D.,
Lelandais, S.,
Colineau, J.,
Chen, L.M.,
Dorizzi, B.,
Ardabilian, M.,
Krichen, E.,
Mellakh, M.A.,
Chaari, A.,
Guerfi, S.,
d'Hose, J.,
Ben Amor, B.[Boulbaba],
The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D,
Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation
Campaign,
BTAS08(1-7).
IEEE DOI Link
0809
Dataset, Iris Recognition.
BibRef
Tome-Gonzalez, P.,
Alonso-Fernandez, F.,
Ortega-Garcia, J.,
On the Effects of Time Variability in Iris Recognition,
BTAS08(1-6).
IEEE DOI Link
0809
BibRef
Phillips, P.J.[P. Jonathon],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
Liu, X.[Xiaomei],
Scruggs, W.T.[W. Todd],
The Iris Challenge Evaluation 2005,
BTAS08(1-8).
IEEE DOI Link
0809
BibRef
Hollingsworth, K.P.[Karen P.],
Bowyer, K.W.[Kevin W.],
Flynn, P.J.[Patrick J.],
The Importance of Small Pupils:
A Study of How Pupil Dilation Affects Iris Biometrics,
BTAS08(1-6).
IEEE DOI Link
0809
BibRef
Matschitsch, S.[Stefan],
Tschinder, M.[Martin],
Uhl, A.[Andreas],
Comparison of Compression Algorithms' Impact on Iris Recognition
Accuracy,
ICB07(232-241).
Springer DOI Link
0708
BibRef
Proenca, H.[Hugo],
Alexandre, L.A.[Luis A.],
The NICE.I: Noisy Iris Challenge Evaluation - Part I,
BTAS07(1-4).
IEEE DOI Link
0709
BibRef
Thornton, J.[Jason],
Savvides, M.[Marios],
Kumar, B.V.K.,
An Evaluation of Iris Pattern Representations,
BTAS07(1-6).
IEEE DOI Link
0709
BibRef
Smith, K.N.,
Pauca, V.P.,
Ross, A.,
Torgersen, T.,
King, M.C.,
Extended Evaluation of Simulated Wavefront Coding Technology in Iris
Recognition,
BTAS07(1-7).
IEEE DOI Link
0709
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Retinal Identification Systems and Tecniques .