TY - GEN
T1 - A comparative study of best spectral bands selection systems for face recognition
AU - Bouchech, Hamdi
AU - Foufou, Sebti
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Best Spectral Bands Selection
KW - IRIS - M
KW - Multispectral images
KW - review
UR - http://www.scopus.com/inward/record.url?scp=84988252417&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988252417&partnerID=8YFLogxK
U2 - 10.1109/AICCSA.2014.7073255
DO - 10.1109/AICCSA.2014.7073255
M3 - Conference contribution
AN - SCOPUS:84988252417
T3 - Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
SP - 609
EP - 613
BT - 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
PB - IEEE Computer Society
T2 - 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014
Y2 - 10 November 2014 through 13 November 2014
ER -