Face recognition is a challenging task due to the complexity of pose variations, occlusion
and the variety of face expressions performed by distinct subjects. Thus, many features have …

Fisher linear discriminant analysis (FLDA) is a popular approach which has been widely
used for feature extraction in face recognition tasks. FLDA is seeking optimal projection …

Face recognition is an important aspect of the biometric surveillance system. Generally, face
recognition is a type of biometric system that can identify a specific individual by analyzing …

Though numerous approaches have been proposed for face recognition, little attention is
given to the moment-based face recognition techniques. In this paper we propose a novel …

Face recognition has received enormous fame in the field of pattern recognition and
computer vision. Being a demanding area intensive research has been done by many …

This paper presents a new approach of face recognition based on wavelet network using 2D
fast wavelet transform and multiresolution analysis. This approach is divided in two stages …

Face recognition is an important research field of pattern recognition. Up to now, it caused
researchers great concern from these fields, such as pattern recognition and computer …

Abstract Principal Component Analysis (PCA) is a well-studied method in face recognition.
Noticing that few researches focus on pre-processing of images, which will also improve the …

To improve the efficiency of traditional face recognition techniques, this paper proposes a
novel face recognition algorithm called Image Gradient Feature Compensation (IGFC) …

Moments are widely-used feature extractors due to their superior discriminatory power and
geometrical invariance. Unfortunately, moments suffer heavy computational load and result …