Optimal Iris Fuzzy Sketches

Author

Bringer, J. ; Chabanne, H. ; Cohen, G. ; Kindarji, B. ; Zémor, G.

Author_Institution

Sagem Securite, Eragny

fYear

2007

fDate

27-29 Sept. 2007

Firstpage

1

Lastpage

6

Abstract

Fuzzy sketches, introduced as a link between biometry and cryptography, are a way of handling biometric data matching as an error correction issue. We focus here on iris biometrics and look for the best error-correcting code in that respect. We show that two-dimensional iterative min-sum decoding leads to results near the theoretical limits. In particular, we experiment our techniques on the iris challenge evaluation (ICE) database and validate our findings.

Keywords

biometrics (access control); cryptography; error correction codes; fuzzy set theory; image coding; image matching; image recognition; iterative decoding; biometric data matching; cryptographic method; error correction code; iris challenge evaluation database; optimal iris fuzzy sketch; two-dimensional iterative min-sum decoding; Bioinformatics; Biometrics; Cryptography; Databases; Error correction; Error correction codes; Hamming distance; Iris recognition; Iterative decoding; Vectors; Iris; biometry; fuzzy sketches; min-sum decoding;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on

Conference_Location

Crystal City, VA

Print_ISBN

978-1-4244-1597-7

Electronic_ISBN

978-1-4244-1597-7

Type

conf

DOI

10.1109/BTAS.2007.4401904

Filename

4401904