Face recognition is an efficient technique and one of the most preferred biometric modalities
for the identification and verification of individuals as compared to voice, fingerprint, iris …

Facial expressions are widely used in the behavioral interpretation of emotions, cognitive
science, and social interactions. In this paper, we present a novel method for fully automatic …

This paper presents a new face recognition algorithm based on the well-known EBGM which
replaces Gabor features by HOG descriptors. The recognition results show a better …

Facial expressions convey nonverbal cues which play an important role in interpersonal
relations, and are widely used in behavior interpretation of emotions, cognitive science, and …

The CSU Face Identification Evaluation System includes standardized image preprocessing
software, four distinct face recognition algorithms, analysis tools to study algorithm …

While researchers strive to improve automatic face recognition performance, the relationship
between image resolution and face recognition performance has not received much …

The main goal of this paper is to propose and implement an experimental fully automatic
face recognition system which will be used to annotate photographs during insertion into a …

Abstract An Elastic Bunch Graph Map (EBGM) algorithm is being proposed in this research
paper that successfully implements face recognition using Gabor filters. The proposed …

Recognition difficulty is statistically linked to 11 subject covariate factors such as age and
gender for three face recognition algorithms: principle components analysis, an …

We explore the possibility of using both face and gait in enhancing human recognition at a
distance performance in outdoor conditions. Although the individual performance of gait and …