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Found 4 papers, 0 papers with code
Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects.
Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach
Limited research has been conducted on presentation attacks in contactless fingerprint systems, and these studies have encountered challenges in terms of generalization and scalability since both bonafide samples and presentation attacks are utilized during training model.
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems
Finally, we evaluate the performance of the model using unseen types of spoof attacks and live data.
Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.
