IoT-based biometric recognition systems in education for identity verification services: Quality assessment approach
M Rukhiran, S Wong-In, P Netinant - Ieee Access, 2023 - ieeexplore.ieee.org
Traditional identity verification of students based on the human proctoring approach can
cause a scam identity verification and ineffective processing time, particularly among vast …
cause a scam identity verification and ineffective processing time, particularly among vast …
[HTML][HTML] User acceptance factors related to biometric recognition technologies of examination attendance in higher education: TAM model
M Rukhiran, S Wong-In, P Netinant - Sustainability, 2023 - mdpi.com
Identity recognition is influenced at all educational levels by biometric technology. The
invention of facial recognition technology has added new efficiencies to the traditional …
invention of facial recognition technology has added new efficiencies to the traditional …
[HTML][HTML] Optimized gravitational search algorithm for feature fusion in a multimodal biometric system
In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …
capacity to enhance recognition accuracy and robustness. The integration of multiple …
Identity Threats in the Metaverse and Future Research Opportunities
The metaverse is the next-generation internet, which can be described as three-dimensional
virtual environments that reflect different aspects of the physical world. Users can engage in …
virtual environments that reflect different aspects of the physical world. Users can engage in …
Multimodal Deep Learning Based Score Level Fusion Using Face and Fingerprint
K Shinde, C Kayte - … Conference on Advances in Computer Vision …, 2023 - atlantis-press.com
In the previous decade, biometrics referred to the automatic recognition of persons based on
their physiological or behavioural traits but unimodal biometrics have their limitations. Due to …
their physiological or behavioural traits but unimodal biometrics have their limitations. Due to …
Masked Face Recognition Based on Convolutional Neural Network and Using Combination of Synthetic and Realistic Masked Faces Datasets.
NK Babakr - platform.almanhal.com
In the last decade, face recognition models achieved high performance using deep learning
approaches. Some recent models outperform or are close to the human ability to recognize …
approaches. Some recent models outperform or are close to the human ability to recognize …