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 ...
Wei Wang +5 more
doaj +5 more sources
Lightweight FaceNet Based on MobileNet
International Journal of Intelligence Science, 2021 Face recognition is a kind of biometric technology that recognizes identities through human faces. At first, the speed of machine recognition of human faces was slow and the accuracy was lower than manual recognition. With the rapid development of deep learning and the application of Convolutional Neural Network (CNN) in the field of face ...
Xinzheng Xu
exaly +3 more sources
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.
Rytis Maskeliunas +2 more
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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.
Muhammad Mobeen Abid +5 more
doaj +2 more sources
Face-voice based multimodal biometric authentication system via FaceNet and GMM [PDF]
PeerJ Computer Science, 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.
Bayan Alharbi, Hanan S. Alshanbari
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TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques [PDF]
AnimalsWithin the framework of behavioral ecology and conservation, individual recognition plays a critical role in the research on wild social animals at the individual level.
Qiyang Gao +4 more
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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
John K. Essel +3 more
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Cryptographic key generation using deep learning with biometric face and finger vein data [PDF]
Frontiers in Artificial IntelligenceThis research proposes a novel approach to cryptographic key generation using biometric data from face and finger vein modalities enhanced by deep learning techniques.
Tsehayu Gizachew Yirga +2 more
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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.
Kwame Appati +2 more
exaly +3 more sources
Application of artificial intelligence to eyewitness identification [PDF]
Cognitive ResearchArtificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitnesses ...
Heather Kleider-Offutt +3 more
doaj +2 more sources