Kinship Verification Using Convolutional Neural Network

Abstract

Kinship verification refers to finding a blood relationship between people. Facial images can be used to establish the relationship using feature extraction and matching. Kinship verification is an emerging topic for research in computer vision. The main task of kinship verification is to determine kin relation from a given pair of facial images. It is a binary classification problem that answers yes or no based upon whether the relationship exists or not for a given pair of images. The principle behind kinship verification is that every child inherits some of his parent's facial features. It has many real-world applications like finding missing children, image annotation, automatic photo management, and social media image tagging, etc. Convolutional neural networks have been used recently for classification problems in digital images. The major research contributions by CNN in solving kinship verification problems have been analyzed in this chapter.