Improved multiview biometric object detection for anti spoofing frauds

• Published in: Multimedia tools and applications Vol. 83; no. 33; pp. 80161 - 80177
• Main Authors: Asmitha, P., Rupa, Ch, Nikitha, S., Hemalatha, J., Sahu, Aditya Kumar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2024; Springer Nature B.V
• Subjects: 1238: Recent Advances in Biometrics Based on Biomedical Information; Algorithms; Artificial neural networks; Authentication; Biometric recognition systems; Biometrics; Classrooms; Computer Communication Networks; Computer Science; Computer vision; Data Structures and Information Theory; Deep learning; Human performance; Machine learning; Multimedia Information Systems; Object recognition; Real time; Special Purpose and Application-Based Systems; Spoofing; Theft; RetinaFace; Human face; Authentication; Improved ArcFace; Detection; Recognition; Real-time data

Computer vision and deep learning are essential in human authentication. It provides answers to numerous issues faced in the real world. Moreover, it has a great potential in detecting and recognizing the biometrics. It plays a significant role in reducing frauds such as spoofing, identification (ID...