Face recognition techniques, their advantages, disadvantages and performance evaluation

L Masupha, T Zuva, S Ngwira… - … and Security (ICCCS), 2015 - ieeexplore.ieee.org
A human brain can store and remember thousands of faces in a person's life time, however it
is very difficult for an automated system to reproduce the same results. Faces are complex …

Emotions recognition as innovative tool for improving students' performance and learning approaches

M Bouhlal, K Aarika, RA Abdelouahid, S Elfilali… - Procedia Computer …, 2020 - Elsevier
Emotions are by far crucial in the education field, as their impact almost rivals that of the
environment or the language being in use to transmit the information. In fact, they have an …

[PDF][PDF] Face recognition with frame size reduction and DCT compression using PCA algorithm

PV Kumar, KM Jeevan - Indonesian Journal of Electrical …, 2021 - academia.edu
Face recognition has become a very important study of research because it has a variety of
applications in research field such as human computer interaction, pattern recognition (PR) …

Facial Feature-Based Human Emotion Detection Using Machine Learning: An Overview

M Rai, AA Husain, R Sharma, T Maity… - Artificial Intelligence …, 2022 - taylorfrancis.com
Human emotion detection from video frames is among the most robust and difficult tasks in
the field of social communication. Human emotion recognition has attracted the interest of …

[PDF][PDF] Comparative study of face recognition techniques

N BalaYesu, HK Kalluri - International Journal of Pure and Applied …, 2018 - researchgate.net
In this paper presented a comparative study of face recognition techniques. Features are
considered holistic features, Gabor features, phase congruency features. Experiments are …