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Proceedings Paper

Extraction and fusion of spectral parameters for face recognition
Author(s): B. Boisier; B. Billiot; Z. Abdessalem; P. Gouton; J. Y. Hardeberg
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Paper 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.

Paper Details

Date Published: 7 February 2011
PDF: 6 pages
Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770V (7 February 2011); doi: 10.1117/12.876642
Show Author Affiliations
B. Boisier, Univ. de Bourgogne (France)
B. Billiot, Univ. de Bourgogne (France)
Z. Abdessalem, Univ. de Bourgogne (France)
P. Gouton, Univ. de Bourgogne (France)
J. Y. Hardeberg, Gjøvik Univ. College (France)


Published in SPIE Proceedings Vol. 7877:
Image Processing: Machine Vision Applications IV
David Fofi; Philip R. Bingham, Editor(s)

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