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 …

Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …

In steerable filters, a filter of arbitrary orientation can be generated by a linear combination of
a set of “basis filters.” Steerable properties dominate the design of the traditional filters, eg …

Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Binary feature descriptors such as local binary patterns (LBP) and its variations have been
widely used in many face recognition systems due to their excellent robustness and strong …

In this paper, we present an algorithm for unconstrained face verification based on deep
convolutional features and evaluate it on the newly released IARPA Janus Benchmark A …

Multi-view data clustering based on Non-negative Matrix Factorization (NMF) has been
commonly used for pattern recognition by grou** multi-view high-dimensional data by …

This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …