Extraction and fusion of spectral parameters for face recognition
Journal article, Peer reviewed
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Original versionBoisier, B., Billiot, B., Abdessalem, Z., Gouton, P. & Hardeberg, J. Y. (2011). Extraction and fusion of spectral parameters for face recognition. I: Proceedings of SPIE, the International Society for Optical Engineering, Image Processing: Machine Vision Applications IV, SPIE - International Society for Optical Engineering. http://dx.doi.org/10.1117/12.876642
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.
This is the copy of journal's version originally published in Proc. SPIE 7877: http://spie.org/x10.xml?WT.svl=tn7. Reprinted with permission of SPIE.