Fingerprint Liveness Detection in the Presence of Capable Intruders [PDF]
Sensors, 2015 Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the
Ana F. Sequeira, Jaime S. Cardoso
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LFLDNet: Lightweight Fingerprint Liveness Detection Based on ResNet and Transformer [PDF]
Sensors, 2023 With the rapid development of fingerprint recognition systems, fingerprint liveness detection is gradually becoming regarded as the main countermeasure to protect the fingerprint identification system from spoofing attacks.
Kang Zhang +3 more
doaj +4 more sources
Transformers and Generative Adversarial Networks for Liveness Detection in Multitarget Fingerprint Sensors [PDF]
Sensors, 2021 Fingerprint-based biometric systems have grown rapidly as they are used for various applications including mobile payments, international border security, and financial transactions.
Soha B. Sandouka +2 more
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LivDet 2013 Fingerprint Liveness Detection Competition 2013 [PDF]
2013 International Conference on Biometrics (ICB), 2013 A spoof or fake is a counterfeit biometric that is used in an attempt to circumvent a biometric sensor Liveness detection distinguishes between live and fake biometric traits. Liveness detection is based on the principle that additional information can be garnered above and beyond the data procured by a standard verification system, and this additional
GHIANI, LUCA +6 more
core +10 more sources
Enhancing Fingerprint Liveness Detection Accuracy Using Deep Learning: A Comprehensive Study and Novel Approach [PDF]
Journal of Imaging, 2023 Liveness detection for fingerprint impressions plays a role in the meaningful prevention of any unauthorized activity or phishing attempt. The accessibility of unique individual identification has increased the popularity of biometrics.
Deep Kothadiya +6 more
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Convolution Comparison Pattern: An Efficient Local Image Descriptor for Fingerprint Liveness Detection. [PDF]
PLoS ONE, 2016 We present a new type of local image descriptor which yields binary patterns from small image patches. For the application to fingerprint liveness detection, we achieve rotation invariant image patches by taking the fingerprint segmentation and ...
Carsten Gottschlich
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Adversarial attacks on fingerprint liveness detection [PDF]
EURASIP Journal on Image and Video Processing, 2020 Deep neural networks are vulnerable to adversarial samples, posing potential threats to the applications deployed with deep learning models in practical conditions.
Jianwei Fei +3 more
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Useless or used less? Poroscopy: The evidence of sweat pores [PDF]
Heliyon, 2023 Poroscopy is the study of sweat pores present on the papillary ridges of the skin. This review paper aims to examine existing literature on poroscopy so that its relevance as a tool in personal identification can be established. Moreover, this paper aims
Jaisleen Kaur, Meenal Dhall
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Unified Generative Adversarial Networks for Multidomain Fingerprint Presentation Attack Detection [PDF]
Entropy, 2021 With the rapid growth of fingerprint-based biometric systems, it is essential to ensure the security and reliability of the deployed algorithms. Indeed, the security vulnerability of these systems has been widely recognized.
Soha B. Sandouka +3 more
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Dual-Model Synergy for Fingerprint Spoof Detection Using VGG16 and ResNet50 [PDF]
Journal of ImagingIn this paper, we address the challenge of fingerprint liveness detection by proposing a dual pre-trained model approach that combines VGG16 and ResNet50 architectures.
Mohamed Cheniti +2 more
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