A COMPARATIVE STUDY OF HUMAN FACES RECOGNITION USING PRINCIPLE COMPONENTS ANALYSIS AND LINEAR DISCRIMINANT ANALYSIS TECHNIQUES

A COMPARATIVE STUDY OF HUMAN FACES RECOGNITION USING PRINCIPLE COMPONENTS ANALYSIS AND LINEAR DISCRIMINANT ANALYSIS TECHNIQUES

This paper presents a comparative study of human faces recognition using two feature extraction techniques: Principle Components Analysis (PCA), and Linear Discriminant Analysis (LDA). The performance of these techniques is evaluated and compared to find the best technique for human faces recogniti...

Full description

Bibliographic Details
Main Author: Anas Fouad Ahmed
Format: Article
Language:Arabic
Published: Mustansiriyah University/College of Engineering 2016-09-01
Series:Journal of Engineering and Sustainable Development
Subjects:
Face Recognition
Principle Components Analysis
Linear Discriminant Analysis
Online Access:https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/711

Similar Items

Similar Items