Face recognition is an emergent research area, spanning over multiple disciplines such as
image processing, computer vision and signal processing. Moreover, face recognition is …

This paper presents a combination techniques of appearance-based and feature-based
feature extraction on the T-Zone face area to improve the recognition performance. This …

Face recognition is a popular technique in identifying human features. In certain application
such as recognizing criminals from video surveillance, where no other physical trait is …

In the present work, appearance-based face recognition method called the Laplacian face
approach is used. The face images are mapped into a face subspace for analysis by using …

The face of a human being conveys a lot of information about identity and emotional state of
the person. Face recognition is an interesting and challenging problem, and impacts …

Local detail features of face are important bases for recognizing different persons. For its
invariant to monotonic gray-scale transformations and it's a non-parametric kernel which …

This paper presents a novel and efficient face recognition technique based on Local Binary
Pattern (LBP) with threshold for resolving traditional LBP's weakness of extracting global …

This paper presents a new Sobel-LBP, an extension of existing Local Binary Pattern (LBP),
for facial image representation. The face image is filtered by Sobel operator to enhance the …

Face recognition is one of the most important tasks in computer vision and biometrics where
many algorithms have been developed. The Local Binary Pattern (LBP) has been proved to …

This paper presents a simple, novel, yet highly effective approach for robust face
recognition. Given LBP-like descriptors based on local accumulated pixel differences …