Facial recognition using new LBP representations

Alireza Akoushideh; Raymond N.J. Veldhuis; Lieuwe Jan Spreeuwers; Babak M.-N. Maybodi

Facial recognition using new LBP representations

Alireza Akoushideh, Raymond N.J. Veldhuis, Lieuwe Jan Spreeuwers, Babak M.-N. Maybodi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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Abstract

In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.

Original language	Undefined
Title of host publication	Proceedings of the 36th WIC Symposium on Information Theory in the Benelux
Place of Publication	Brussels
Publisher	Université Libre de Bruxelles
Pages	34-41
Number of pages	8
ISBN (Print)	978-2-8052-0277-3
Publication status	Published - 6 May 2015
Event	36th WIC Symposium on Information Theory in the Benelux 2015 - Brussels, Belgium Duration: 6 May 2015 → 7 May 2015 Conference number: 36

Publication series

Name
Publisher	Université libre de Bruxelles

Workshop

Workshop	36th WIC Symposium on Information Theory in the Benelux 2015
Country/Territory	Belgium
City	Brussels
Period	6/05/15 → 7/05/15

Keywords

EWI-26076
SCS-Safety
Biometrics
IR-96057
Local Binary Patterns
METIS-312634
Face Recognition

Access to Document

http://w-i-c.org/proceedings/proceedings_SITB2015.pdf

Cite this

@inproceedings{dcfd85ed0ba14826a962dfc73e55f4ca,

title = "Facial recognition using new LBP representations",

abstract = "In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.",

keywords = "EWI-26076, SCS-Safety, Biometrics, IR-96057, Local Binary Patterns, METIS-312634, Face Recognition",

author = "Alireza Akoushideh and Veldhuis, {Raymond N.J.} and Spreeuwers, {Lieuwe Jan} and Maybodi, {Babak M.-N.}",

year = "2015",

month = may,

day = "6",

language = "Undefined",

isbn = "978-2-8052-0277-3",

publisher = "Universit{\'e} Libre de Bruxelles",

pages = "34--41",

booktitle = "Proceedings of the 36th WIC Symposium on Information Theory in the Benelux",

note = "36th WIC Symposium on Information Theory in the Benelux 2015 ; Conference date: 06-05-2015 Through 07-05-2015",

}

Akoushideh, A, Veldhuis, RNJ , Spreeuwers, LJ & Maybodi, BM-N 2015, Facial recognition using new LBP representations. in Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Université Libre de Bruxelles, Brussels, pp. 34-41, 36th WIC Symposium on Information Theory in the Benelux 2015, Brussels, Belgium, 6/05/15. <http://w-i-c.org/proceedings/proceedings_SITB2015.pdf>

TY - GEN

T1 - Facial recognition using new LBP representations

AU - Akoushideh, Alireza

AU - Veldhuis, Raymond N.J.

AU - Spreeuwers, Lieuwe Jan

AU - Maybodi, Babak M.-N.

N1 - Conference code: 36

PY - 2015/5/6

Y1 - 2015/5/6

N2 - In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.

AB - In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.

KW - EWI-26076

KW - SCS-Safety

KW - Biometrics

KW - IR-96057

KW - Local Binary Patterns

KW - METIS-312634

KW - Face Recognition

M3 - Conference contribution

SN - 978-2-8052-0277-3

SP - 34

EP - 41

BT - Proceedings of the 36th WIC Symposium on Information Theory in the Benelux

PB - Université Libre de Bruxelles

CY - Brussels

T2 - 36th WIC Symposium on Information Theory in the Benelux 2015

Y2 - 6 May 2015 through 7 May 2015

ER -