Efficient region of interest based metric learning for effective open world deep face

• Main Authors: Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdaus, Zainal Abidin, Zulkifli, Nik Hashim, Nik Nur Wahidah, Husman, Muhammad Afif
• Format: Article
• Language: English; English; English
• Published: IEEE 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://irep.iium.edu.my/98903/1/98903_Efficient%20Region%20of%20Interest%20Based%20Metric%20Learning%20for%20Effective.pdf; http://irep.iium.edu.my/98903/2/98903_Efficient%20Region%20of%20Interest%20Based%20Metric%20Learning%20for%20Effective_WOS.pdf; http://irep.iium.edu.my/98903/3/98903_Efficient%20Region%20of%20Interest%20Based%20Metric%20Learning%20for%20Effective_SCOPUS.pdf; http://irep.iium.edu.my/98903/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9833501
• Institution: Universiti Islam Antarabangsa Malaysia

Face Recognition (FR) has recently gained traction as a widely used biometric for securitybased applications such as facial recognition payment. The widespread use is due to improvements in deep convolutional neural networks (CNN) and large datasets. However, FR is still an ill-posed problem, esp...