Heterogeneous Face Recognition (HFR) refers to matching face images captured in different
domains, such as thermal to visible images (VIS), sketches to visible images, near-infrared …

This paper presents a new facial feature descriptor called Fused Cross Lattice Pattern of
Phase Congruency (FCLPPC) for high accuracy, homogeneous and heterogeneous …

With the ever-increasing security threats in recent years, biometric authentication has
become omnipresent. Among all biometric characteristics, face recognition research has …

The influence of light changes makes the task of feature extraction more difficult for the local
descriptors. Most of local descriptors sacrifices their performance in harsh lightning …

Feature representation and verification have always been a difficult problem in the
classification performance of Automatic Face Recognition in Unconstrained Conditions (AFR …

Most of the existing local descriptors unable to perform well in front of noise and blur
variations. Additionally there are very less descriptors persist in literature which are noise …

Facial expressions can convey the internal emotions of a person within a certain scenario
and play a major role in the social interaction of human beings. In automatic Facial …

Face recognition (FR) has become a very popular method for biometric authentication,
thanks to its noncontact nature and high accuracy. State-of-the-art face recognition systems …

Literature reports plethora of blur invariant descriptors in unconstrained conditions. Most of
these blur invariant descriptors are inspired from LPQ. No doubt LPQ is the effective blur …

This work suggests improvement to the descriptor invented by Nguyen et al.[1]. The
descriptor launched in [1] is called as HELBP. HELBP is advancement of LBP in which there …