In order to achieve effective expression of the facial features in complex environment, an
improved face recognition method of histograms of oriented gradients (HOG) is proposed …

To effectively represent facial features in complex environments, a face recognition method
based on dense grid histograms of oriented gradients (HOG) is proposed. First, the face …

Local binary pattern (LBP) has limitation in extracting texture feature and cannot effectively
depict the edge and direction information, thus a new method is proposed, called layered …

For years, researchers have made great efforts to find an appropriate face representation for
face recognition. A fusion strategy of Local Binary Pattern (LBP) and Gabor filters yields …

Gabor filters can extract multi-orientation and multiscale features from face images.
Researchers have designed different ways to use the magnitude of the filtered results for …

We propose a novel facial representation based on the dual-tree complex wavelet transform
for face recognition. It is effective and efficient to represent the geometrical structures in …

In this paper, a novel face descriptor, the Gabor-scale binary pattern (GSBP), is proposed to
explore the neighboring relationship in spatial, frequency and orientation domains for the …

With the development of information technology, face recognition technology has been
continuously developed. This technology has attracted the attention of many researchers …

The robust feature extraction method for face representation is an important issue in face
recognition. In this paper, we extract a new kind of feature through applying the idea of local …

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 …