Kinship recognition is a prominent research aiming to find if kinship relation exists between
two different individuals. In general, child closely resembles his/her parents more than …

Recently, many existing automatic facial verification methods have focused on learning the
optimal distance measurements between facials. Especially in the case of learning facial …

In Indian banking systems, signatures and faces are the two traits of biometrics that are used
for personal identification. The automation of this identification system requires the use of a …

Kinship verification refers to comparing similarities between two different individuals through
their facial images. In this context, feature descriptors play a crucial role, and few feature …

With the propensity for deep learning models to learn unintended signals from data sets
there is always the possibility that the network can “cheat” in order to solve a task. In the …

Kinship verification from facial images in the wild is a promising research aiming to identify
whether a facial image pair shares kinship relation by analyzing face structures. This paper …

Kinship verification using facial images is gaining substantial attention by computer vision
researchers. The real challenge in kinship verification is to effectively represent the …

Kinship verification from faces aims to determine whether two person share some family
relationship based only on the visual facial patterns. This has attracted a significant interests …

Kinship verification using single image of a person is a challenging task for real-world
applications. In this paper, we propose a novel robust discriminative feature subspace …

Estimating blood relationships from facial images is a complex task in computer vision due
to subtle differences. Existing models are facing difficulties in accurately assessing kin …