Results 221 to 230 of about 2,062 (252)

Survey on fingerprint liveness detection

2013 International Workshop on Biometrics and Forensics (IWBF), 2013
Recent researches have shown great attention in biometric systems due to the importance of its applications and its challenges. Researchers proved that the available fingerprint recognition systems are vulnerable to attack at sensor level. Thus, developing an efficient algorithm to protect fingerprint systems from imposer access is urgent.
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Large Scale Experiments on Fingerprint Liveness Detection

2012
Fingerprint liveness detection consists in extracting measurements, from a fingerprint image, allowing to distinguish between an "alive" fingerprint image, that is, an image coming from the fingertip of the claimed identity, and an artificial replica. Several algorithms have been proposed so far, but the robustness of their performance has not yet been
MARCIALIS, GIAN LUCA, GHIANI, LUCA, Morgeneier D, Vetter K, ROLI, FABIO   +4 more
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Fingerprint Liveness Detection using Binarized Statistical Image Features

2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2013
Recent experiments, reported in the third edition of Fingerprint Liveness Detection competition (LivDet 2013), have clearly shown that fingerprint liveness detection is a very difficult and challenging task. Although the number of approaches is large, none of them can be claimed as able to detect liveness of fingerprint traits with an acceptable error ...
GHIANI, LUCA, Hadid A., MARCIALIS, GIAN LUCA, ROLI, FABIO   +3 more
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Fingerprint Liveness detection using probabality density function

2016 International Conference on Communication and Signal Processing (ICCSP), 2016
Biometrics are used for security purpose. It is used to recognize a person based on their unique characteristics. Among several biometrics, Fingerprint is the most widely used and acceptable biometrics. Biometric system has several advantages over traditional methods. But it can be affected by several attacks.
G Arunalatha, M. Ezhilarasan
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LivDet 2017 - Fingerprint Systems Liveness Detection Competition

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2018
A spoof or artefact is a counterfeit biometric that is used in an attempt to circumvent a biometric sensor. Presentation attack detection (PAD) aims to distinguish between live and fake biometric traits. The Fingerprint Systems Liveness Detection Competition (LivDet) has the goal of comparing both combined software/hardware-based fingerprint liveness ...
David Yambay, Stephanie Schuckers, Samantha Denning, Constantin Sandmann, Andrey Bachurinski, Josh Hogan   +5 more
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Investigating Fingerprint Quality Features for Liveness Detection

2020
Fingerprint-based recognition systems are vulnerable to presentation attacks. To identify these attacks one of the solution is fingerprint liveness detection which ensures the presence of a live or fake fingerprint. In this paper, we have investigated the use of quality features for the detection of liveness of given fingerprint image. We have proposed
Ram Prakash Sharma, Ashutosh Anshul, Ashwini Jha, Somnath Dey   +3 more
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LivDet 2011 — Fingerprint liveness detection competition 2011

2012
“Liveness detection”, a technique used to determine the vitality of a submitted biometric, has been implemented in fingerprint scanners in recent years. The goal for the LivDet 2011 competition is to compare software-based fingerprint liveness detection methodologies (Part 1), as well as fingerprint systems which incorporate liveness detection ...
Yambay D, GHIANI, LUCA, Denti P, MARCIALIS, GIAN LUCA, ROLI, FABIO, Schuckers S.   +5 more
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Fingerprint liveness detection approaches: a survey

International Journal of Autonomous and Adaptive Communications Systems, 2023
Chengsheng Yuan, Mingyu Chen, Ying Lv
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Biometric Fingerprint Liveness Detection

2015
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.
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Biometric fingerprint liveness detection

This work addresses the problem of biometric recognition of fingerprint liveness to identify and differentiate between real fingerprints and their artificial replicas. The main objective was to identify the features that are crucial for fingerprint liveness recognition and based on these features to propose an efficient classification algorithm.
Rišian, Lukáš, Vítek, Martin
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