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 …

This paper introduces a novel Gabor-based supervised locality preserving projection
(GSLPP) method for face recognition. Locality preserving projection (LPP) is a recently …

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 …

Histogram of oriented gradients (HOG) descriptor was initially applied to human detection
and achieved great success. In recent years, HOG descriptor has also been applied to face …

Face recognition under adverse conditions, such as low-resolution, difficult illumination, blur
and noise remains a challenging task. Among existing face recognition methods, Gabor …

The Gabor feature is effective for facial image representation, while linear discriminant
analysis (LDA) can extract the most discriminant information from the Gabor feature for face …

In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face
representation and recognition. In our method, the Gabor feature set of each gray image is …

A new technique called two-dimensional Gabor Fisher discriminant (2DGFD) is derived and
implemented for image representation and recognition. In this approach, the Gabor wavelets …

Appropriate representation is one of the keys to the success of face recognition
technologies. In this paper, we present a novel face representation approach using a …

We describe a face recognition framework based on Extended Curvature Gabor (ECG)
Classifier Bunch. First we extend Gabor wavelet kernels into the ECG wavelet kernels by …