Longitudinal Evaluation of Child Face Recognition and the Impact of Underlying Age

In recent years, there has been a growing demand for reliable identification of children across various applications, including missing children, border security, humanitarian, and health care. This highlights the need to explore the potential of face recognition technology for children. However, The need for reliable identification of children in various traditional face recognition systems have primarily focused emerging applications has sparked interest in leveraging on adults, which poses limitations when applied to child face recognition technology. This study introduces a children due to the unique characteristics of juvenile facial longitudinal approach to enrollment and verification accuracy features and how they change over time [16].