This paper introduces a novel Gabor-Fisher (1936) classifier (GFC) for face recognition. The
GFC method, which is robust to changes in illumination and facial expression, applies the …

We present an independent Gabor features (IGFs) method and its application to face
recognition. The novelty of the IGF method comes from 1) the derivation of independent …

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 …

This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face
recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is …

This paper develops a novel face recognition technique called Complete Gabor Fisher
Classifier (CGFC). Different from existing techniques that use Gabor filters for deriving the …

This paper describes a novel Gabor feature classifier (GFC) method for face recognition. The
GFC method employs an enhanced Fisher discrimination model on an augmented Gabor …

The paper presents a novel method for the extraction of facial features based on the Gabor-
wavelet representation of face images and the kernel partial-least-squares discrimination …

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 face recognition, the Fisherface approach based on Fisher linear discriminant analysis
(FLDA) has obtained some success. However, FLDA fails when each person just has one …

In this paper, a new face recognition technique is introduced based on the gray-level co-
occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …