The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm

Ahmed Ghorbel; Imen Tajouri; Walid Elaydi; Nouri Masmoudi

doi:10.1109/WSCNIS.2015.7368300

The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm

Ahmed Ghorbel, Imen Tajouri, Walid Elaydi, Nouri Masmoudi

University of Sfax

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Face recognition system is considered as a smart technique for authentication. It guarantees security, stability and variability. It was used in a wide variety of applications like control of access, surveillance, passport and credit cards. Many algorithms were proposed in order to improve the recognition rate. One of these techniques is the fractional Eigenfaces, which combines the Eigenfaces algorithm and the theory of the fractional covariance matrix. In this paper, we highlight the influence of the interpolation and the similarity measurement methods on the efficiency of the fractional Eigenfaces algorithm. Experimental results are evaluated with three image databases: ORL, YALE and UMIST.

Original language	English
Title of host publication	2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479999057
DOIs	https://doi.org/10.1109/WSCNIS.2015.7368300
State	Published - 29 Dec 2015
Externally published	Yes
Event	World Symposium on Computer Networks and Information Security, WSCNIS 2015 - Hammamet, Tunisia Duration: 19 Sep 2015 → 21 Sep 2015

Publication series

Name	2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015

Conference

Conference	World Symposium on Computer Networks and Information Security, WSCNIS 2015
Country/Territory	Tunisia
City	Hammamet
Period	19/09/15 → 21/09/15

Keywords

Eigenfaces
Face recognition
Fractional Eigenfaces
Principal component analysis

Access to Document

10.1109/WSCNIS.2015.7368300

Cite this

Ghorbel, A., Tajouri, I., Elaydi, W., & Masmoudi, N. (2015). The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm. In 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015 Article 7368300 (2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSCNIS.2015.7368300

Ghorbel, Ahmed ; Tajouri, Imen ; Elaydi, Walid et al. / The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm. 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015).

@inproceedings{ac821c6ab629493b9e8c481e5edaa03b,

title = "The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm",

abstract = "Face recognition system is considered as a smart technique for authentication. It guarantees security, stability and variability. It was used in a wide variety of applications like control of access, surveillance, passport and credit cards. Many algorithms were proposed in order to improve the recognition rate. One of these techniques is the fractional Eigenfaces, which combines the Eigenfaces algorithm and the theory of the fractional covariance matrix. In this paper, we highlight the influence of the interpolation and the similarity measurement methods on the efficiency of the fractional Eigenfaces algorithm. Experimental results are evaluated with three image databases: ORL, YALE and UMIST.",

keywords = "Eigenfaces, Face recognition, Fractional Eigenfaces, Principal component analysis",

author = "Ahmed Ghorbel and Imen Tajouri and Walid Elaydi and Nouri Masmoudi",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; World Symposium on Computer Networks and Information Security, WSCNIS 2015 ; Conference date: 19-09-2015 Through 21-09-2015",

year = "2015",

month = dec,

day = "29",

doi = "10.1109/WSCNIS.2015.7368300",

language = "English",

series = "2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015",

address = "United States",

}

Ghorbel, A, Tajouri, I, Elaydi, W & Masmoudi, N 2015, The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm. in 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015., 7368300, 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015, Institute of Electrical and Electronics Engineers Inc., World Symposium on Computer Networks and Information Security, WSCNIS 2015, Hammamet, Tunisia, 19/09/15. https://doi.org/10.1109/WSCNIS.2015.7368300

The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm. / Ghorbel, Ahmed; Tajouri, Imen; Elaydi, Walid et al.
2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7368300 (2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm

AU - Ghorbel, Ahmed

AU - Tajouri, Imen

AU - Elaydi, Walid

AU - Masmoudi, Nouri

PY - 2015/12/29

Y1 - 2015/12/29

N2 - Face recognition system is considered as a smart technique for authentication. It guarantees security, stability and variability. It was used in a wide variety of applications like control of access, surveillance, passport and credit cards. Many algorithms were proposed in order to improve the recognition rate. One of these techniques is the fractional Eigenfaces, which combines the Eigenfaces algorithm and the theory of the fractional covariance matrix. In this paper, we highlight the influence of the interpolation and the similarity measurement methods on the efficiency of the fractional Eigenfaces algorithm. Experimental results are evaluated with three image databases: ORL, YALE and UMIST.

AB - Face recognition system is considered as a smart technique for authentication. It guarantees security, stability and variability. It was used in a wide variety of applications like control of access, surveillance, passport and credit cards. Many algorithms were proposed in order to improve the recognition rate. One of these techniques is the fractional Eigenfaces, which combines the Eigenfaces algorithm and the theory of the fractional covariance matrix. In this paper, we highlight the influence of the interpolation and the similarity measurement methods on the efficiency of the fractional Eigenfaces algorithm. Experimental results are evaluated with three image databases: ORL, YALE and UMIST.

KW - Eigenfaces

KW - Face recognition

KW - Fractional Eigenfaces

KW - Principal component analysis

UR - http://www.scopus.com/inward/record.url?scp=84962463349&partnerID=8YFLogxK

U2 - 10.1109/WSCNIS.2015.7368300

DO - 10.1109/WSCNIS.2015.7368300

M3 - Conference contribution

AN - SCOPUS:84962463349

T3 - 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015

BT - 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - World Symposium on Computer Networks and Information Security, WSCNIS 2015

Y2 - 19 September 2015 through 21 September 2015

ER -

Ghorbel A, Tajouri I, Elaydi W, Masmoudi N. The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm. In 2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7368300. (2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015). doi: 10.1109/WSCNIS.2015.7368300

The effect of the similarity measures and the interpolation techniques on fractional eigenfaces algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this