Comparative Study on Texture Features for Fingerprint Recognition: Application to The BioHashing Template Protection Scheme

Abstract : In order to ensure privacy constraints in biometrics, new algorithms called template protection schemes have been proposed in the last ten 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 enhance 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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Journal of Electronic Imaging, Society of Photo-optical Instrumentation Engineers, 2016
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Rima Belguechi, Adel Hafiane, Estelle Cherrier, Christophe Rosenberger. Comparative Study on Texture Features for Fingerprint Recognition: Application to The BioHashing Template Protection Scheme. Journal of Electronic Imaging, Society of Photo-optical Instrumentation Engineers, 2016. 〈hal-01269208〉

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