Alignment-free cancelable iris biometric templates based on adaptive bloom filters

Details

Serval ID
serval:BIB_94B34B832142
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Alignment-free cancelable iris biometric templates based on adaptive bloom filters
Title of the conference
2013 International Conference on Biometrics (ICB)
Author(s)
Rathgeb C., Breitinger F., Busch C.
Publisher
IEEE
ISBN
9781479903108
Publication state
Published
Issued date
06/2013
Language
english
Abstract
Biometric characteristics are largely immutable, i.e. unprotected storage of biometric data provokes serious privacy threats, e.g. identity theft, limited re-newability, or cross-matching. In accordance with the ISO/IEC 24745 standard, technologies of cancelable biometrics offer solutions to biometric information protection by obscuring biometric signal in a non-invertible manner, while biometric comparisons are still feasible in the transformed domain. In the presented work alignment-free cancelable iris biometrics based on adaptive Bloom filters are proposed. Bloom filter-based representations of binary biometric templates (iris-codes) enable an efficient alignment-invariant biometric comparison while a successive mapping of parts of a binary biometric template to a Bloom filter represents an irreversible transform. In experiments, which are carried out on the CASIA - v 3 iris database, it is demonstrated that the proposed system maintains biometric performance for diverse iris recognition algorithms, protecting biometric templates at high security levels.
Keywords
adaptive filters, data structures, iris recognition, CASIA-v3 iris database
Create date
06/05/2021 11:01
Last modification date
06/05/2021 11:45
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