Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

In this paper, an efficient face recognition method using AGA and ANFIS-ABC has been
proposed. At first stage, the face images gathered from the database are preprocessed. At …

In this paper, a face recognition method based on statistical features and Support Vector
Machine (SVM) algorithm is proposed. The statistical analysis is used to extract and select …

Face Recognition is a challenging task for recognizing and detecting the identity of an
individual. Although, plethora of work has already been done in the field of pattern …

Human stress is a physical or emotional feeling. It can come from any situation or thought
that makes one feel frustrated or nervous. Different biological manifestations take place in …

Affective computing has various challenges especially for features extraction. Semantic
information and vocal messages contain much emotional information, while extracting …

The paper presents a Sugeno Adaptive Neuro-Fuzzy Inference System with parametric
conjunction operations architecture, ANFIS-CX. The advantages of using parametric …

In spite of the significant advancement in face recognition expertise, accurately recognizing
the face of the same individual across different ages still remains an open research …

Facial expression is the most common technique is used to convey the expressions of
human beings. Due to different ethnicity and age, faces differ from one individual to another …

Mathematical tools, machine learning, and signal processing tools have achieved enormous
success in computer vision. In this chapter, we present state-of-the-art progress that has …