Optimal Iris Fuzzy Sketches

Optimal Iris Fuzzy Sketches

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 le...

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Bibliographische Detailangaben
Hauptverfasser: Bringer, J., Chabanne, H., Cohen, G., Kindarji, B., Zemor, G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bioinformatics
Biometrics
biometry
Cryptography
Error correction
Error correction codes
fuzzy sketches
Hamming distance
Iris
Iris recognition
Iterative decoding
min-sum decoding
Vectors
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/BTAS.2007.4401904