Results 211 to 220 of about 2,062 (252)

FedPSFV: Personalized Federated Learning via Prototype Sharing for Finger Vein Recognition. [PDF]

Sensors (Basel)
Xu H, Guo Y, Qu Y, Guo J, Ren H.
europepmc   +1 more source

Age estimation via electrocardiogram from smartwatches. [PDF]

NPJ Biomed Innov
Adib A, Zhu WP, Ahmad MO.
europepmc   +1 more source

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Fingerprint Liveness Detection Using Convolutional Neural Networks

IEEE Transactions on Information Forensics and Security, 2016
With the growing use of biometric authentication systems in the recent years, spoof fingerprint detection has become increasingly important. In this paper, we use convolutional neural networks (CNNs) for fingerprint liveness detection. Our system is evaluated on the data sets used in the liveness detection competition of the years 2009, 2011, and 2013,
Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado   +2 more
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Fingerprint Liveness Detection Using Local Coherence Patterns

IEEE Signal Processing Letters, 2017
In this letter, we propose a novel image descriptor for fingerprint liveness detection using the local coherence of a given image. Based on the observation that materials employed for making fake fingerprints (e.g., silicone, wood glue, etc.) tend to yield the nonuniformity in the captured image due to the replica fabrication process, we focus on the ...
Wonjun Kim
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Detecting liveness of fingerprint biometrics

International Journal of Internet Protocol Technology, 2016
Biometrics refer to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. But biometric systems are vulnerable to a certain type of attack. The type 1 attack or direct attack is done at the sensor level using fake input.
G. Arunalatha, M. Ezhilarasan
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Correlation based fingerprint liveness detection

2015 International Conference on Biometrics (ICB), 2015
Fingerprint recognition systems are vulnerable to spoof attacks, which consist in presenting forged fingerprints to the sensor. Typical anti-spoofing mechanism is fingerprint liveness detection. Existing liveness detection methods are still not robust to spoofing materials, datasets and sensor variations.
Akhtar, Zahid, MICHELONI, Christian, FORESTI, Gian Luca   +2 more
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Fingerprint Liveness Detection Based on Fake Finger Characteristics

International Journal of Digital Crime and Forensics, 2012
The vitality detection of fingerprints is currently acknowledged as a serious issue for personal identity verification systems. This problem, raised some years ago, is related to the fact that the 3d shape pattern of a fingerprint can be reproduced using artificial materials.
MARCIALIS, GIAN LUCA, Coli, P., ROLI, FABIO   +2 more
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Experimental Results on Fingerprint Liveness Detection

2012
Fingerprint liveness detection is aimed to detect if a fingerprint image, sensed by an electronic device, belongs to an "alive" fingertip or to be an artificial replica of it. Recent studies have shown that a fingerprint can be replicated and, if a clever attacker tries to evade the system, this is an issue.
GHIANI, LUCA, Denti P, MARCIALIS, GIAN LUCA   +2 more
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SmartMetric invents liveness detection for fingerprints

Biometric Technology Today, 2021
New York-based SmartMetric has developed a ‘liveness detection’ system for fingerprints, which can tell whether the finger being used to activate a payment card is from a real person or not.
openaire   +1 more source