These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …

Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …

As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

This paper presents a novel and efficient facial image representation based on local binary
pattern (LBP) texture features. The face image is divided into several regions from which the …

Two of the most critical requirements in support of producing reliable face-recognition
systems are a large database of facial images and a testing procedure to evaluate systems …

In the context of the appearance-based paradigm for object recognition, it is generally
believed that algorithms based on LDA (linear discriminant analysis) are superior to those …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

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 …

In this paper, we describe the acquisition and contents of a large-scale Chinese face
database: the CAS-PEAL face database. The goals of creating the CAS-PEAL face database …