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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.
Twins Recognition Using Hierarchical Score Level Fusion
With the development of technology, the usage areas and importance of biometric systems have started to increase.
Twins Recognition with Multi Biometric System: Handcrafted-Deep Learning Based Multi Algorithm with Voice-Ear Recognition Based Multi Modal
With the development of technology, the usage areas and importance of biometric systems have started to increase.
Ear Recognition With Score-Level Fusion Based On CMC In Long-Wave Infrared Spectrum
Only a few studies have been reported regarding human ear recognition in long wave infrared band.
A Multi-Biometrics for Twins Identification Based Speech and Ear
In this study a multimodal biometric recognition system is proposed to recognize twins from each other and from the other people by using image and speech data.
