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 …

In this paper, a new Gradient Gabor (GGabor) filter is proposed to extract multi-scale and
multi-orientation features to represent and classify faces. Gradient Gabor filters combine the …

Extraction of invariant features is the core of Face RecognitionSystems (FRS). This work
proposes a novel feature extractor-fusion scheme using two powerful feature descriptor …

The Gabor-based features have achieved excellent performances for face recognition on
traditional face databases. However, on the recent LFW (Labeled Faces in the Wild) face …

We describe a novel face recognition using the Extended Curvature Gabor (ECG) Classifier
Bunch. First, we extend Gabor kernels into the ECG kernels by adding a spatial curvature …

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 …

Gabor filters have proven themselves to be a powerful tool for facial feature extraction. An
abundance of recognition techniques presented in the literature exploits these filters to …

In this paper, we introduce a new face recognition approach based on the representation of
each individual by a feature vector extracted through a bank of Gabor filters and Karhunen …

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 …

Gabor feature has been widely recognized as one of the best representations for face
recognition. However, traditionally, it has to be reduced in dimension due to curse of …