Alignment-Free Cancelable Iris Biometric Templates Based on Adaptive Bloom Filters
Iris (Eye), Biometric identification, Computer security
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology | Information Security
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.
Rathgeb, Christian; Breitinger, Frank; and Busch, Christoph, "Alignment-Free Cancelable Iris Biometric Templates Based on Adaptive Bloom Filters" (2013). Electrical & Computer Engineering and Computer Science Faculty Publications. 57.
Rathgeb, Christian, Frank Breitinger, and Christoph Busch. "Alignment-free cancelable iris biometric templates based on adaptive bloom filters." 2013 International Conference on Biometrics (ICB). IEEE, 2013.