A comparative study of best spectral bands selection systems for face recognition

Hamdi Bouchech, Sebti Foufou

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

Abstract

Multispectral images (MI) have shown promising capabilities to solve problems resulting from high illumination variation in face recognition. However, the use of MI, with the huge number of captured spectral bands for each subject, is impractical unless a system for best spectral bands selection (BSBS) is used. In this work, first we give an up to date overview of the existing BSBS techniques proposed for face recognition. We aim to highlight the imporatnce of this component of MI based systems. The reviewed techniques are then experimented using the multispectral face database IRIS - M3 to compare their performances. To the best of our knowledge this is the first study that reviews and compares existing techniques for BSBS. The Obtained results emphasized the importance of setting up techniques for BSBS with MI based systems as well as the need for new techniques that investigate better the increasing speed of image processing tools.

Original languageEnglish (US)
Title of host publication2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
PublisherIEEE Computer Society
Pages609-613
Number of pages5
Volume2014
ISBN (Electronic)9781479971008
DOIs
StatePublished - Jan 1 2014
Event2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 - Doha, Qatar
Duration: Nov 10 2014Nov 13 2014

Other

Other2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014
CountryQatar
CityDoha
Period11/10/1411/13/14

Fingerprint

Face recognition
Image processing
Lighting

Keywords

  • Best Spectral Bands Selection
  • IRIS - M
  • Multispectral images
  • review

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Bouchech, H., & Foufou, S. (2014). A comparative study of best spectral bands selection systems for face recognition. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014 (Vol. 2014, pp. 609-613). [7073255] IEEE Computer Society. https://doi.org/10.1109/AICCSA.2014.7073255

A comparative study of best spectral bands selection systems for face recognition. / Bouchech, Hamdi; Foufou, Sebti.

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. Vol. 2014 IEEE Computer Society, 2014. p. 609-613 7073255.

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

Bouchech, H & Foufou, S 2014, A comparative study of best spectral bands selection systems for face recognition. in 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. vol. 2014, 7073255, IEEE Computer Society, pp. 609-613, 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014, Doha, Qatar, 11/10/14. https://doi.org/10.1109/AICCSA.2014.7073255
Bouchech H, Foufou S. A comparative study of best spectral bands selection systems for face recognition. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. Vol. 2014. IEEE Computer Society. 2014. p. 609-613. 7073255 https://doi.org/10.1109/AICCSA.2014.7073255
Bouchech, Hamdi ; Foufou, Sebti. / A comparative study of best spectral bands selection systems for face recognition. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. Vol. 2014 IEEE Computer Society, 2014. pp. 609-613
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