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Reseach Article

Genetic Programming based Face Recognition

by Hani M. Ibrahem, Mohammed M. Nasef, Mahmoud Emam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 27
Year of Publication: 2013
Authors: Hani M. Ibrahem, Mohammed M. Nasef, Mahmoud Emam
10.5120/12140-8187

Hani M. Ibrahem, Mohammed M. Nasef, Mahmoud Emam . Genetic Programming based Face Recognition. International Journal of Computer Applications. 69, 27 ( May 2013), 1-6. DOI=10.5120/12140-8187

@article{ 10.5120/12140-8187,
author = { Hani M. Ibrahem, Mohammed M. Nasef, Mahmoud Emam },
title = { Genetic Programming based Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 27 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number27/12140-8187/ },
doi = { 10.5120/12140-8187 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:24.413955+05:30
%A Hani M. Ibrahem
%A Mohammed M. Nasef
%A Mahmoud Emam
%T Genetic Programming based Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 27
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition is a high-dimensional pattern recognition problem. It has rapidly evolved and has become very popular in recent years. In this paper, an efficient technique for face recognition based on genetic programming is proposed. Genetic programming is an evolutionary computation technique that automatically solves problems without having to tell the computer explicitly how to do it. Features extracting is one of the most important steps in this technique. The main goal of this paper is to answer the question "Who am I?" Further, the proposed technique is not affected by face recognition aspects such as lighting condition, varying facial expression, and varying pose. The results demonstrate that the proposed technique can obtain better performances than other existing face recognition techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition genetic programming and geometric feature based method