Pixel Pruning for Fingerprint Quality Assessment

Z Yao 1 Christophe Charrier 1 Christophe Rosenberger 1
1 Equipe Monétique & Biométrie - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : In this paper, we propose a new metric based on pixel pruning. We show its benefit using the Enrollment Selection (ES) approach on different databases.
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https://hal.archives-ouvertes.fr/hal-01338114
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Submitted on : Wednesday, June 29, 2016 - 3:47:41 PM
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  • HAL Id : hal-01338114, version 1

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Z Yao, Christophe Charrier, Christophe Rosenberger. Pixel Pruning for Fingerprint Quality Assessment. International Biometric Performance Testing Conference (IBPC), May 2016, washington, United States. ⟨hal-01338114⟩

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