21.5.3.2 Iris Recognition Systems, Systems, Evaluation, Surveys

Chapter Contents (Back)
Biometrics. Survey, Iris Recognition.

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.

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.

Ernst, J.[Jan],
Iris Recognition Homepage,
Online Book2002. 0200Iris 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 This is mostly out of date -- not realy updated since 2003.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

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

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.
WWW Version. 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. 0111The 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 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.
WWW Version. 0711 BibRef

Son, S.M.[Sam Mog],
Vehicular security access system,
US_Patent6,323,761, June 3, 2000.
WWW Version. BibRef 0006

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

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).
WWW Version. 0509 BibRef

Jang, J.[Jain], Park, K.R.[Kang Ryoung], Son, J.[Jinho], Lee, Y.B.[Yill-Byung],
A study on multi-unit iris recognition,
ICARCV04(II: 1244-1249).
WWW Version. 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.
WWW Version. 0710 Survey, Iris Recognition. See also CASIA Iris Image Database. BibRef

Bowyer, K.W.[Kevin W.], Hollingsworth, K.[Karen], 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. Biometrics; Identity verification; Iris recognition; Texture analysis BibRef


Zuo, J.[Jinyu], Schmid, N.A., Chen, X.H.[Xiao-Han],
On Performance Comparison of Real and Synthetic Iris Images,
ICIP06(305-308). 0610
WWW Version. BibRef

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


Last update:Jun 25, 2008 at 13:37:57