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Comparative study on texture features for fingerprint recognition: application to the BioHashing template protection scheme

[+] Author Affiliations
Rima Belguechi

ESI Alger, 16309, El Harrach, Algeria

ENSICAEN - UNICAEN - CNRS, GREYC UMR 6072, F-14050 Caen, France

Adel Hafiane

University Orléans, INSA CVL, PRISME EA 4229, 88 Boulevard Lahitolle, F-18020 Bourges, France

Estelle Cherrier, Christophe Rosenberger

ENSICAEN - UNICAEN - CNRS, GREYC UMR 6072, F-14050 Caen, France

J. Electron. Imaging. 25(1), 013033 (Feb 18, 2016). doi:10.1117/1.JEI.25.1.013033
History: Received September 11, 2015; Accepted January 26, 2016
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Abstract.  In order to ensure privacy constraints in biometrics, new algorithms called template protection schemes have been proposed in the last 10 years in the literature. Most of these algorithms require as input a feature having a fixed size. Texture features can be used within this context for fingerprints as the number of minutiae varies in general for different captures. BioHashing is a two authentication factor algorithm that can be used to ensure privacy while using biometrics. In this work, we compare different recent texture features from the literature within the BioHashing scheme while considering many constraints: efficiency, maximal representation size, and constant size description. Experiments are conducted on three fingerprint databases from the FVC competition. Results permit us to conclude on the texture features to be used within this context.

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Citation

Rima Belguechi ; Adel Hafiane ; Estelle Cherrier and Christophe Rosenberger
"Comparative study on texture features for fingerprint recognition: application to the BioHashing template protection scheme", J. Electron. Imaging. 25(1), 013033 (Feb 18, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.1.013033


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