Facial Expression Recognition (FER) is presently the aspect of cognitive and affective
computing with the most attention and popularity, aided by its vast application areas. Several …

Facial emotion recognition (FER) has garnered substantial attention in computer vision and
machine learning domains due to its versatile applications. Nonetheless, achieving accurate …

The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …

Facial Expression Recognition (FER) on unconstrained datasets poses a significant
challenge, primarily due to data uncertainty stemming from human subjectivity and …

The process of identifying a person using their facial traits is referred to as face recognition,
and it is a form of biometric identification. The use of facial recognition might range from that …

Facial Expression Recognition (FER) is a field that is being well researched due to its great
impact on decision-making application in the domain of medical, security, corporate and …

To increase security and accuracy in the systems which are based on biometrics, a
multimodal system was suggested. The multimodal biometric systems, are more accurate …

This paper proposes a new discrete optimization technique, applied to the face recognition
(FR) system, known as Discrete Bat Algorithm (DBA) based feature selection (FS) scheme …