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 proceedingConference contributionAcademic

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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 languageUndefined
Title of host publicationProceedings of the 36th WIC Symposium on Information Theory in the Benelux
Place of PublicationBrussels
PublisherUniversité Libre de Bruxelles
Pages34-41
Number of pages8
ISBN (Print)978-2-8052-0277-3
Publication statusPublished - 6 May 2015
Event36th WIC Symposium on Information Theory in the Benelux 2015 - Brussels, Belgium
Duration: 6 May 20157 May 2015
Conference number: 36

Publication series

Name
PublisherUniversité libre de Bruxelles

Workshop

Workshop36th WIC Symposium on Information Theory in the Benelux 2015
CountryBelgium
CityBrussels
Period6/05/157/05/15

Keywords

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

Cite this

Akoushideh, A., Veldhuis, R. N. J., Spreeuwers, L. J., & Maybodi, B. M-N. (2015). Facial recognition using new LBP representations. In Proceedings of the 36th WIC Symposium on Information Theory in the Benelux (pp. 34-41). Brussels: Université Libre de Bruxelles.
Akoushideh, Alireza ; Veldhuis, Raymond N.J. ; Spreeuwers, Lieuwe Jan ; Maybodi, Babak M.-N. / Facial recognition using new LBP representations. Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels : Université Libre de Bruxelles, 2015. pp. 34-41
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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 = "5",
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",

}

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.

Facial recognition using new LBP representations. / Akoushideh, Alireza; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan; Maybodi, Babak M.-N.

Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels : Université Libre de Bruxelles, 2015. p. 34-41.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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.

PY - 2015/5/6

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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

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Akoushideh A, Veldhuis RNJ, Spreeuwers LJ, Maybodi BM-N. Facial recognition using new LBP representations. In Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels: Université Libre de Bruxelles. 2015. p. 34-41