Abstract: Infant combining, kidnapping, and unlawful adoption are critical issues that have received little attention. Traditional fingerprint-based and non-biometric procedures are flawed, because they do not provide enough safety for babies. In recent history, face recognition for adults has become a hot topic, while automatic face recognition for babies has received less attention in the literature. As a result, its vital to get started on analysis so that forthcoming facial recognition algorithms can deal with the difficult task of newborn identification. On the new born face image with neutral expression, the suggested matching algorithms have an accuracy of 87.04 percent, demonstrating that no two newborns are alike.

Keywords: Deep learning, Convolution Neural Network, Face recognition

| DOI: 10.17148/IARJSET.2022.96135