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

Facial expression recognition is an important research issue in the pattern recognition field.
In this paper, we intend to present a novel framework for facial expression recognition to …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Gabor features have been known to be effective for face recognition. However, only a few
approaches utilize phase feature and they usually perform worse than those using …

The spatially enhanced local binary pattern (LBP) histogram (eLBPH) methodology has
attained an established position in the field of face recognition (FR) and derived many face …

A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA)
of multi-scale local binary pattern histograms is proposed for face recognition. The face …

Information jointly contained in image space, scale and orientation domains can provide rich
important clues not seen in either individual of these domains. The position, spatial …

As manual labeling is very difficult and time-consuming, the labeled samples used to train a
supervised classifier are generally limited, which become one of the biggest challenge for …

Factors such as misalignment, pose variation, and occlusion make robust face recognition a
difficult problem. It is known that statistical features such as local binary pattern are effective …