Face recognition is one of the most successful applications of image analysis and
understanding and has gained much attention in recent years. Various algorithms were …

Eigenspace-based face recognition corresponds to one of the most successful
methodologies for the computational recognition of faces in digital images. Starting with the …

In today's academic settings, managing daily tasks like attendance tracking has become
increasingly burdensome. Traditional methods of manual attendance taking are inefficient …

Face recognition issue gained more interest recently due to its various applications and the
demand of high security. Some researches with contradicting results were published …

Different statistical methods for face recognition have been proposed in recent years. They
mostly differ in the type of projection and distance measure used. The aim of this paper is to …

In machine learning, the effectiveness of the classification and regression analysis is often
based on the reliability and dimension of the features representing the patterns …

Eigenface approach is one of the simplest and most efficient methods for face recognition. In
eigenface approach chosing the threshold, value is a very important factor for performance …

This paper proposes a three-stage feature selection algorithm by exploring the wavelet
packet (WP) decomposition, statistical, and Information Gain (IG) feature ranking algorithm …

The attitude of a human being involves with their emotions. Emotions can be observed in
either verbally or visually or both. Verbal emotion recognition is a difficult task and an area of …

Facial expressions convey non-verbal cues, which play an important role in interpersonal
relations. Automatic recognition of human face based on facial expression can be an …