The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

As of late, the need for biometric security framework is elevated for giving safety and security
against frauds, theft, and so on. Face recognition has gained a significant position among all …

With the recent success of deep neural networks, remarkable progress has been achieved
on face recognition. However, collecting large-scale real-world training data for face …

Face images captured by surveillance cameras are often of low resolution (LR), which
adversely affects the performance of their matching with high-resolution (HR) gallery …

This paper proposes two sets of novel edge-texture features, Discriminative Robust Local
Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By …

In the literature of psychophysics and neurophysiology, many studies have shown that both
global and local features are crucial for face representation and recognition. This paper …

Facial occlusions, due for example to sunglasses, hats, scarf, beards etc., can significantly
affect the performance of any face recognition system. Unfortunately, the presence of facial …

Systems that rely on Face Recognition (FR) biometric have gained great importance ever
since terrorist threats imposed weakness among the implemented security systems. Other …

Face occlusion has been a long standing challenging issue in face recognition. In the state-
of-the-art deep Convolutional Neural Network (CNN) face recognition models, occluded …

In this paper we present the UMB-DB 3D face database. The database has been built to test
algorithms and systems for 3D face analysis in uncontrolled and challenging scenarios, in …