Efficient face descriptors require a careful equilibration between accuracy and feature
dimension. In recent years Histogram of Oriented Gradient (HOG) starts to be used in the …

Recently, Histogram of Oriented Gradient (HOG) is applied in face recognition. In this paper,
we apply Co-occurrence of Oriented Gradient (CoHOG), which is an extension of HOG, on …

Face recognition has been a long standing problem in computer vision. Recently,
Histograms of Oriented Gradients (HOGs) have proven to be an effective descriptor for …

The efficient face recognition systems are those which are able to achieve higher
recognition rate with lower computational cost. To develop such systems both feature …

Face recognition has been a long standing problem in computer vision. Histograms of
Oriented Gradients (HOGs) and Local Binary Patterns (LBPs) have proven to be an effective …

In this paper, we propose a novel locality sensitive histograms of oriented gradients
(LSHOG) for face recognition. The traditional histograms of oriented gradients (HOG) divide …

The histogram of oriented gradient has been successfully applied in many research fields
with excellent performance especially in pedestrian detection. However, the method has …

The performance of the face recognition systems is vulnerable to occlusion, light and
expression changes and such constraints need to be handled effectively in a robust face …

Abstract Face Recognition Systems has been applied in a wide range of applications.
However, their efficiency drastically diminish when they are applied under uncontrolled …

Face recognition is widely used in computer vision and in many other biometric applications
where security is a major concern. The most common problem in recognizing a face arises …