Algorithms, 2023 The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing.
Robertas Damaševičius +1 more
exaly +3 more sources
Face-voice based multimodal biometric authentication system via FaceNet and GMM. [PDF]
PeerJ Comput Sci, 2023 Information security has become an inseparable aspect of the field of information technology as a result of advancements in the industry. Authentication is crucial when it comes to dealing with security.
Alharbi B, Alshanbari HS.
europepmc +3 more sources
Computationally intelligent real-time security surveillance system in the education sector using deep learning. [PDF]
PLoS OneReal-time security surveillance and identity matching using face detection and recognition are central research areas within computer vision. The classical facial detection techniques include Haar-like, MTCNN, AdaBoost, and others.
Abid MM +5 more
europepmc +2 more sources
TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques. [PDF]
Animals (Basel)Within the framework of behavioral ecology and conservation, individual recognition plays a critical role in the research on wild social animals at the individual level.
Gao Q +5 more
europepmc +2 more sources
On the search for efficient face recognition algorithm subject to multiple environmental constraints. [PDF]
HeliyonFrom literature, majority of face recognition modules suffer performance challenges when presented with test images acquired under multiple constrained environments (occlusion and varying expressions). The performance of these models further deteriorates
Essel JK, Mensah JA, Ocran E, Asiedu L.
europepmc +2 more sources
A lightweight tunnel vehicle re-ldentification model based on YOLOv11n and FaceNet. [PDF]
PLoS OneWith the advancement of computer vision, vehicle re-identification (Re-ID) in tunnel environments faces critical challenges like low-resolution imagery, lighting variations, and occlusions, which greatly limit the effectiveness of existing algorithms ...
Wang W +5 more
europepmc +2 more sources
FaceNet recognition algorithm subject to multiple constraints: Assessment of the performance
Scientific AfricanLiterature has it that the performance of most face recognition algorithms still decline in multiple constrained environments (Occlusions and Expressions), despite the achieved successes of deep learning face recognition algorithms.
Louis Asiedu, Justice Appati
exaly +3 more sources
Cryptographic key generation using deep learning with biometric face and finger vein data. [PDF]
Front Artif IntellThis research proposes a novel approach to cryptographic key generation using biometric data from face and finger vein modalities enhanced by deep learning techniques.
Gizachew Yirga T +2 more
europepmc +2 more sources
Journal of Low Power Electronics and ApplicationsIoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. This study explores the growing potential of IoT-based facial recognition for mobile devices, a technology rapidly advancing ...
Musab Al-kaltakchi +2 more
exaly +3 more sources
Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition
TechnologiesFace recognition systems typically face actual challenges like facial pose, illumination, occlusion, and ageing that significantly impact the recognition accuracy.
Saman Shojae Chaeikar
exaly +3 more sources