AIMC Topic: Biometric Identification

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Contactless biometric verification from in-air signatures using deep siamese networks.

Scientific reports
In-air signature is a behavioral biometric trait that has gained increasing attention in recent years due to its contactless nature and potential for secure, hygienic, and remote authentication. Unlike traditional pen-and-paper or tablet-based system...

Secure facial biometric authentication in smart cities using multimodal methodology.

Scientific reports
In recent times, in modern smart city environments, securing and maintaining facial biometric security is crucial for preventing unauthorized access to citizen data and safeguarding it from spoofing. This research proposes a multimodal deep learning ...

The exhaled breath pattern as a potential method for biometrics identification.

Scientific reports
Conventional biometric identification methods relying on Personally Identifiable Information (PII) pose significant challenges concerning privacy and security. Volatile organic compounds (VOCs) in exhaled breath are unique to individuals and can serv...

Multiple biometric authentication for online banking system based on multiple fuzzy approach.

Scientific reports
Online banking continues to grow in popularity due to its convenience, but banks face significant challenges in ensuring secure customer identity verification. Traditional authentication methods such as PINs, passwords, and one-time passwords have sh...

A comprehensive survey of deep face verification systems adversarial attacks and defense strategies.

Scientific reports
Face Verification (FV) systems have exhibited remarkable performance in verification tasks and have consequently garnered extensive adoption across various applications, from identity duplication to authentication in mobile payments. However, the sur...

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

Scientific reports
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...

Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification.

PloS one
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. ...

Trimodal machine learning based biometrics system.

Scientific reports
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...

A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports
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...

The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent.

Sensors (Basel, Switzerland)
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 ...