Deep Features for Kinship Verification from Facial Images

Abstract

The kinship verification through facial images is an active research topic due to its potential applications. In this paper, we propose an approach which takes two images as an input then give kinship result (kinship / No-kinship) as an output. The approach contains five steps which are: (1) face preprocessing, (2) deep features extraction, (3) pair features representation and normalization, (4) features selection, (5) kinship verification. Experiments are conducted on five public databases (Cornell KinFace, UB Kin database, Familly, KinFace-I, and KinFace-II). The experimental results shows that our approach is comparable with existed approaches.