Facial Kinship Verification using Computational Approaches

The objective of Facial Kinship Verification (FKV) is to automatically ascertain from two different person-provided facial photos or videos the extent to which they are related. It is emerging due to its potential applicability in real-world situations, regardless of its difficulty. As deep learning models are doing an amazing job in this era so we used pretrained Convolutional Neural Networks, and Ensembled Models in order to solve the issue of kinship verification. Also, we proposed a new model to achieve kinship verification. Finally, this paper compared their results. For better understand, we used the KinFaceW dataset and our own dataset.