AIMC Topic: Biometric Identification

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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.

Scientific reports Aug 10, 2025
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...
Humans Algorithms Reproducibility of Results Biometric Identification Biometry Dermatoglyphics Deep Learning Hand
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Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification.

PloS one Jul 14, 2025
Person re-identification (ReID) technology has many applications in intelligent surveillance and public safety. However, the domain difference between the source and target domains makes the generalization ability of the model extremely challenging. ...
Unsupervised Machine Learning Biometric Identification Humans Algorithms
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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 Biometric Identification Biometry Dermatoglyphics Algorithms Fingers Neural Networks, Computer Machine Learning
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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 Biometric Identification Humans
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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...
Masks Facial Recognition Face Biometric Identification Generative Adversarial Networks Humans Neural Networks, Computer Image Processing, Computer-Assisted Automated Facial Recognition Deep Learning
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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 ...
Criminals Law Enforcement Violence Crime Artificial Intelligence Machine Learning Biometric Identification Biometry Algorithms 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...
Image Processing, Computer-Assisted Databases, Factual Humans Automated Facial Recognition Face Deep Learning Algorithms Biometric Identification Entropy
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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...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Automated Facial Recognition Biometric Identification Face Autoencoder
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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...
Deep Learning Facial Recognition Humans Automated Facial Recognition Machine Learning Face Biometric Identification
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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-...
Deep Learning Software Validation Convolutional Neural Networks Semantics Detection Algorithms Biometric Identification
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