Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

Metric learning has attracted wide attention in face and kinship verification, and a number of
such algorithms have been presented over the past few years. However, most existing …

In this paper a novel hand-crafted local quadruple pattern (LQPAT) is proposed for facial
image recognition and retrieval. Most of the existing hand-crafted descriptors encode only a …

Abstract Advances in Online Social Networks is creating huge data day in and out providing
lot of opportunities to its users to express their interest and opinion. Due to the popularity …

The local descriptors have gained wide range of attention due to their enhanced
discriminative abilities. It has been proved that the consideration of multi-scale local …

Nowadays research has explored to extracting auxiliary information from various biometrie
techniques such as fingerprints, face, iris, palm, voice etc. This information contains some …

Facial features are defined as the local relationships that exist amongst the pixels of a facial
image. Hand-crafted descriptors identify the relationships of the pixels in the local …

The local descriptors have been the backbone of most of the computer vision problems.
Most of the existing local descriptors are generated over the raw input images. In order to …

Automated decision making is used routinely throughout our every-day life. Recommender
systems decide which jobs, movies, or other user profiles might be interesting to us. Spell …

A novel biometric face recognition algorithm using depth cameras is proposed. The key
contribution is the design of a novel and highly discriminative face image descriptor called …