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Journal of Electronic Imaging

Comparative study on texture features for fingerprint recognition: application to the BioHashing template protection scheme
Author(s): Rima Belguechi; Adel Hafiane; Estelle Cherrier; Christophe Rosenberger
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Paper 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.

Paper Details

Date Published: 18 February 2016
PDF: 12 pages
J. Electron. Imag. 25(1) 013033 doi: 10.1117/1.JEI.25.1.013033
Published in: Journal of Electronic Imaging Volume 25, Issue 1
Show Author Affiliations
Rima Belguechi, Ecole Nationale Supérieue d'Informatique (Algeria)
ENSICAEN (France)
Adel Hafiane, Univ. d'Orléans (France)
Estelle Cherrier, ENSICAEN (France)
Christophe Rosenberger, ENSICAEN (France)


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