Affiliation:
1. Innovation Center of School of Electrical Engineering, Belgrade
Abstract
In this article, a face recognition system using the Principal Component
Analysis (PCA) algorithm was implemented. The algorithm is based on an
eigenfaces approach which represents a PCA method in which a small set of
significant features are used to describe the variation between face images.
Experimental results for different numbers of eigenfaces are shown to verify
the viability of the proposed method.
Publisher
National Library of Serbia
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Cited by
22 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Application of Mathematical Models in Linear Algebra to the Metaverse Ecosystem;Advances in Computational Intelligence and Robotics;2023-06-30
2. Machine Learning Approaches to Facial Recognition: A Survey;2023 International Conference on Electronics, Information, and Communication (ICEIC);2023-02-05
3. PriFace: a privacy-preserving face recognition framework under untrusted server;Journal of Ambient Intelligence and Humanized Computing;2023-01-28
4. Biometric Imaging and Facial Recognition;Handbook of Visual Display Technology;2023
5. Smart Door Unlocking System;Lecture Notes in Electrical Engineering;2023