Authors: Fakunle Ajewole、Joseph Damilola Akinyemi、Khadijat Tope Ladoja、Olufade Falade Williams Onifade Paper: https://arxiv.org/abs/2408.06806 Introduction Biometrics, the computerized identification of individuals based on genetic and behavioral characteristics, has become increasingly reliable and accurate. Among various biometric tools, face recognition stands out due to its high accuracy, non-contact nature, user-friendliness, speed, and dependability. Age-Invariant Face Recognition (AIFR) is crucial in many applications, including access control, distribution of government benefits, and criminal investigations, as it ensures the identification of individuals despite age differences between enrolled and probe images. Despite significant research efforts in AIFR, African ethnicity has been underrepresented or misrepresented, often conflating indigenous…
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