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Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …
used to enhance security in various devices. In the past decade, significant progress has …
A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications
In today's biomedical research, the pursuit of diagnostic tools boasting maximum precision
and accuracy while minimizing sample volume and pre-treatment requirements, has …
and accuracy while minimizing sample volume and pre-treatment requirements, has …
[HTML][HTML] FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …
researchers can easily benchmark their systems against the state of the art in an open …
Identity, crimes, and law enforcement in the metaverse
The recent Metaverse technology boom in major areas of the public's life makes the safety of
users a pressing concern. Though the nature of the Metaverse as a geographically …
users a pressing concern. Though the nature of the Metaverse as a geographically …
Frcsyn challenge at wacv 2024: Face recognition challenge in the era of synthetic data
Despite the widespread adoption of face recognition technology around the world, and its
remarkable performance on current benchmarks, there are still several challenges that must …
remarkable performance on current benchmarks, there are still several challenges that must …
Infosphere, datafication, and decision-making processes in the AI era
A Lavazza, M Farina - Topoi, 2023 - Springer
A recent interpretation of artificial intelligence (AI)(Floridi,) suggests that the implementation
of AI demands the investigation of the binding conditions that make it possible to build and …
of AI demands the investigation of the binding conditions that make it possible to build and …
[HTML][HTML] A study of deep learning-based face recognition models for sibling identification
Accurate identification of siblings through face recognition is a challenging task. This is
predominantly because of the high degree of similarities among the faces of siblings. In this …
predominantly because of the high degree of similarities among the faces of siblings. In this …
Racial bias within face recognition: A survey
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …
within computer vision where we readily find associated applications deployed globally. This …
[HTML][HTML] Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods
Abstract Human Machine Interface (HMI) depends on emotion detection, especially for
hospitalized patients. The emergence of the fourth industrial revolution (4IR) has heightened …
hospitalized patients. The emergence of the fourth industrial revolution (4IR) has heightened …
A Comprehensive Review of Face Recognition Techniques, Trends and Challenges
Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …
their facial features. In recent decades, FR plays a crucial role in various sectors, including …