Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest

Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest

Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emot...

Full description

Saved in:
Bibliographic Details
Main Authors: Murad Ibrahim Husin Alzawali, Yusliza Yusoff, Razana Alwee, Zuriahati Mohd Yunos, Mohamad Shukor Talib, Haswadi Hassan, Fahad Taha AL-Dhief, Musatafa Abbas Abbood Albadr, Majid Razaq Mohamed Alsemawi, Sharifah Zarith Rahmah Syed Ahmad
Format: Article
Language:English
Published: University of Baghdad, College of Science for Women 2024-02-01
Series:مجلة بغداد للعلوم
Subjects:
Binarized genetic algorithm, Facial recognition, Facial emotion, Histograms of oriented gradients, Random forest, Yale face dataset
Online Access:https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9698
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9698

Similar Items