Extraction and fusion of spectral parameters for face recognition

B. Boisier; B. Billiot; Z. Abdessalem; P. Gouton; J. Y. Hardeberg

doi:10.1117/12.876642

7 February 2011 Extraction and fusion of spectral parameters for face recognition

B. Boisier, B. Billiot, Z. Abdessalem, P. Gouton, J. Y. Hardeberg

Proceedings Volume 7877, Image Processing: Machine Vision Applications IV; 78770V (2011) https://doi.org/10.1117/12.876642
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Many methods have been developed in image processing for face recognition, especially in recent years with the increase of biometric technologies. However, most of these techniques are used on grayscale images acquired in the visible range of the electromagnetic spectrum. The aims of our study are to improve existing tools and to develop new methods for face recognition. The techniques used take advantage of the different spectral ranges, the visible, optical infrared and thermal infrared, by either combining them or analyzing them separately in order to extract the most appropriate information for face recognition. We also verify the consistency of several keypoints extraction techniques in the Near Infrared (NIR) and in the Visible Spectrum.

Citation Download Citation

B. Boisier, B. Billiot, Z. Abdessalem, P. Gouton, and J. Y. Hardeberg "Extraction and fusion of spectral parameters for face recognition", Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770V (7 February 2011); https://doi.org/10.1117/12.876642

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available