TY - GEN
T1 - Image-based Face Verification for Student Identity Management - the TRUSTID Case Study
AU - Faria, José Nuno
AU - Portugal, David
AU - Martins, Pedro
AU - Belk, Marios
AU - Constantinides, Argyris
AU - Pitsillides, Andreas
AU - Fidas, Christos
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/6/26
Y1 - 2023/6/26
N2 - Managing attendance and confirming student identity in online lessons is a contemporary problem of Higher Education Institutions (HEIs) that comes with its challenges, especially in classes with large numbers of students. The development and deployment of fully automatic and continuous image-based face verification techniques may provide a natural solution for this problem and assist instructors in handling the complexity of managing student identity in a remote classroom. In this paper, we present an automatic image-based student identification framework. Our approach proposes a biometric authentication platform using a Residual Network (ResNet) Learning method for face verification. The system described is intended for use with consumer grade web cameras, providing a tradeoff between reliability and computational performance, as no assumption can be done regarding the target student hardware (i.e. CPU or GPU). This follows from the case study of TRUSTID, an European R&D initiative for intelligent student identity management in distance learning scenarios.
AB - Managing attendance and confirming student identity in online lessons is a contemporary problem of Higher Education Institutions (HEIs) that comes with its challenges, especially in classes with large numbers of students. The development and deployment of fully automatic and continuous image-based face verification techniques may provide a natural solution for this problem and assist instructors in handling the complexity of managing student identity in a remote classroom. In this paper, we present an automatic image-based student identification framework. Our approach proposes a biometric authentication platform using a Residual Network (ResNet) Learning method for face verification. The system described is intended for use with consumer grade web cameras, providing a tradeoff between reliability and computational performance, as no assumption can be done regarding the target student hardware (i.e. CPU or GPU). This follows from the case study of TRUSTID, an European R&D initiative for intelligent student identity management in distance learning scenarios.
KW - Face Verification
KW - Image Processing
KW - Student Identity Management
UR - http://www.scopus.com/inward/record.url?scp=85163770648&partnerID=8YFLogxK
U2 - 10.1145/3563359.3597397
DO - 10.1145/3563359.3597397
M3 - Conference contribution
AN - SCOPUS:85163770648
T3 - UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
SP - 66
EP - 71
BT - UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PB - Association for Computing Machinery, Inc
T2 - 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Y2 - 26 June 2023 through 30 June 2023
ER -