AIMC Topic: Biometric Identification

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Trimodal machine learning based biometrics system.

Scientific reports Jul 1, 2025
Biometrics-based authentication systems have recently been considered as one of the safest methods to secure our data or possessions. In the literature, the solutions based on one or two measurable traits are broadly described. There was also claim t...
Humans Neural Networks, Computer Machine Learning Algorithms Biometric Identification Biometry Fingers Dermatoglyphics
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DiverseReID: Towards generalizable person re-identification via Dynamic Style Hallucination and decoupled domain experts.

Neural networks : the official journal of the International Neural Network Society May 24, 2025
Person re-identification (re-ID) models often fail to generalize well when deployed to other camera networks with domain shift. A classical domain generalization (DG) solution is to enhance the diversity of source data so that a model can learn more ...
Neural Networks, Computer Humans Biometric Identification
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Humans Biometric Identification Neural Networks, Computer Masks Image Processing, Computer-Assisted Deep Learning Generative Adversarial Networks Automated Facial Recognition Facial Recognition Face
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The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent.

Sensors (Basel, Switzerland) May 17, 2025
In the rapidly evolving landscape of biometric technologies, integrating artificial intelligence (AI) and predictive analytics offers promising opportunities and significant challenges for law enforcement and violence prevention. This paper examines ...
Algorithms Biometric Identification Biometry Artificial Intelligence Machine Learning Criminals Law Enforcement Violence Crime Humans
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Global Cross-Entropy Loss for Deep Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 11, 2025
Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These similarities can be categorized into four types: in-sample target si...
Databases, Factual Biometric Identification Humans Automated Facial Recognition Entropy Algorithms Deep Learning Face Image Processing, Computer-Assisted
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AD-VAE: Adversarial Disentangling Variational Autoencoder.

Sensors (Basel, Switzerland) Mar 4, 2025
Face recognition (FR) is a less intrusive biometrics technology with various applications, such as security, surveillance, and access control systems. FR remains challenging, especially when there is only a single image per person as a gallery datase...
Automated Facial Recognition Face Autoencoder Biometric Identification Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications.

Sensors (Basel, Switzerland) Feb 26, 2025
This paper provides a comprehensive analysis of recent developments in face recognition, tracking, identification, and person detection technologies, highlighting the benefits and drawbacks of the available techniques. To assess the state-of-art in t...
Humans Machine Learning Biometric Identification Facial Recognition Automated Facial Recognition Deep Learning Face
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Adversarial perturbation and defense for generalizable person re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
In the Domain Generalizable Person Re-Identification (DG Re-ID) task, the quality of identity-relevant descriptor is crucial for domain generalization performance. However, for hard-matching samples, it is difficult to separate high-quality identity-...
Convolutional Neural Networks Semantics Software Validation Detection Algorithms Deep Learning Biometric Identification
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A Semantic-Aware Attention and Visual Shielding Network for Cloth-Changing Person Re-Identification.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Cloth-changing person re-identification (ReID) is a newly emerging research topic that aims to retrieve pedestrians whose clothes are changed. Since the human appearance with different clothes exhibits large variations, it is very difficult for exist...
Biometric Identification Clothing Pedestrians Attention Semantics Neural Networks, Computer Humans Algorithms
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Real-Time PPG-Based Biometric Identification: Advancing Security with 2D Gram Matrices and Deep Learning Models.

Sensors (Basel, Switzerland) Dec 25, 2024
The integration of liveness detection into biometric systems is crucial for countering spoofing attacks and enhancing security. This study investigates the efficacy of photoplethysmography (PPG) signals, which offer distinct advantages over tradition...
Deep Learning Female Humans Biometric Identification Adult Photoplethysmography Algorithms Signal Processing, Computer-Assisted Biometry Male
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