On application of bloom filters to iris biometrics

Details

Serval ID
serval:BIB_16786D3B7795
Type
Article: article from journal or magazin.
Collection
Publications
Title
On application of bloom filters to iris biometrics
Journal
IET Biometrics
Author(s)
Rathgeb Christian, Breitinger Frank, Busch Christoph, Baier Harald
ISSN
2047-4938
2047-4946
Publication state
Published
Issued date
12/2014
Volume
3
Number
4
Pages
207-218
Language
english
Abstract
In this study, the application of adaptive Bloom filters to binary iris biometric feature vectors, that is, iris-codes, is proposed. Bloom filters, which have been established as a powerful tool in various fields of computer science, are applied in order to transform iris-codes to a rotation-invariant feature representation. Properties of the proposed Bloom filter-based transform concurrently enable (i) biometric template protection, (ii) compression of biometric data and (iii) acceleration of biometric identification, whereas at the same time no significant degradation of biometric performance is observed. According to these fields of application, detailed investigations are presented. Experiments are conducted on the CASIA-v3 iris database for different feature extraction algorithms. Confirming the soundness of the proposed approach, the application of adaptive Bloom filters achieves rotation-invariant cancelable templates maintaining biometric performance, a compression of templates down to 20-40% of original size and a reduction of bit-comparisons to less than 5% leading to a substantial speed-up of the biometric system in identification mode.
Keywords
Signal Processing, Software, Computer Vision and Pattern Recognition
Web of science
Create date
06/05/2021 11:01
Last modification date
06/05/2021 11:46
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