An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D Images-Reference-Cited by-同舟云学术

An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D Images

Published:2023-03-23 Issue: Volume:18 Page:47-57
ISSN:2224-2856
Container-title:WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
language:en
Short-container-title:

Author:

Cadena José¹,Villa Manuel¹,Martínez Maira¹,Acurio Jaime¹,Chacón Luis¹

Affiliation:

1. Universidad Técnica de Cotopaxi, Facultad de Ciencias de la Ingeniería y Aplicadas, Av. Simón Rodríguez, Latacunga ECUADOR

Abstract

The present work is an investigation that deals with the use of efficient techniques for global facial recognition using Python and OpenCV carried out in the Information Systems career of the Faculty of Engineering and Applied Sciences of the Technical University of Cotopaxi. We work with a database of 2D faces corresponding to the students of the Information Systems career that served for the analysis and comparison of the three techniques used (Fisherfaces, EigenFaces, LBPH). The objective of our work is to determine an efficient technique that contributes to the area of global facial recognition, contributing significantly to the field of university security, taking into consideration the saving of resources for future implementations. Finishing this work with the respective analysis and interpretation of the research results, it has been determined that of the three techniques studied, LBPH has the best results both in training time and in face recognition efficiency, reaching near 100% in our tests.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Reference24 articles.

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