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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Digitální knihovna V...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Digitální knihovna VUT
Conference object . 2015 . Peer-reviewed
Data sources: Digitální knihovna VUT
Claim

Biometric Fingerprint Liveness Detection

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2015 Czech Republic Czech Publisher:Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Authors: Váňa, T.;

handle: 11012/42994

Biometric Fingerprint Liveness Detection

Abstract

This paper deals with biometric fingerprint liveness detection. A software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.

Country
Czech Republic
Related Organizations
Keywords

LivDet database, neural network, fingerprint, Biometric system, liveness detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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