The evaluation of face recognition algorithms relies on the diversity of the challenges
simulated on the adopted benchmarks. The main face recognition challenges cover the …

This paper presents a compact and efficient yet powerful binary framework based on image
gradients for robust facial representation. It is termed as Binary Gradient Patterns (BGP). To …

As literature suggests that single descriptor fails to produce desired results therefore the
proposed work launches novel Fused Local Descriptor (FLD), by merging 3 state of art local …

Recent years, many LBP variants tried to improve its discrimination and robustness,
however, brought about extra cost. In this paper, we propose a compact yet highly robust …

This research paper proposes the novel face recognition (FR) descriptor for pose and
expression variations so-called multi-scale neighbourhood based-tree binary pattern (MNB …

This paper presents a simple, yet robust scheme to improve the LDP-based methods in face
recognition. Firstly, a generalized operator, called local directional value (LDV), is …

In literature various local descriptors has been invented for Face Recognition (FR) in
unconstrained conditions. Most of these local descriptors are inspired from the LBP concept …

The work reported in literature clearly signifies the impact of multiscale feature fusion as
compared to single-scale feature extraction. Furthermore, the multiscale feature fusion of …

This work suggests the 2 LBP variants so-called Neighborhood Difference LBP (ND-LBP)
and Neighborhood Mean LBP (NM-LBP). In ND-LBP, the comparison is conducted among …

This work presents local difference binary pattern (LDBP) and local neighborhood difference
binary pattern (LNDBP) descriptors for face analysis. In LDBP, the difference is computed …