21.5.3.2 Iris Recognition Systems, Systems, Evaluation, Surveys

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. IEEE Top Reference. 9809

HTML Version. 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 Top Reference.
WWW Version. 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. IEEE Top Reference. 0402
BibRef
Earlier: ICIP02(I: 33-36).
IEEE Abstract. IEEE Top Reference. 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.],
All Iris Filters are Not Created Equal,
BTAS08(1-6).
IEEE DOI Link 0809
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

Ziauddin, S.[Sheikh], Dailey, M.N.[Matthew N.],
Iris recognition performance enhancement using weighted majority voting,
ICIP08(277-280).
IEEE DOI Link 0810
BibRef

Petrovska-Delacretaz, D., Lelandais, S., Colineau, J., Chen, L., Dorizzi, B., Ardabilian, M., Krichen, E., Mellakh, M.A., Chaari, A., Guerfi, S., d'Hose, J., Amor, B.B.[Boulbaba Ben],
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

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
Dental Identification, Dental Biometrics .