6533b872fe1ef96bd12d3954
RESEARCH PRODUCT
Extraction and fusion of spectral parameters for face recognition
Pierre GoutonZeguidi AbdessalemBastien BilliotBertrand BoisierJon Yngve Hardebergsubject
Near Infrared[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingBiometrics[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingInfraredComputer scienceElectromagnetic spectrumFeature extractionImage processing02 engineering and technologyShort Wave Infrared[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingGrayscaleFacial recognition system[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringFeature descriptorComputer visionFace recognition[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryNear-infrared spectroscopyVisibleFeature extraction020201 artificial intelligence & image processingArtificial intelligencefeature descriptorbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]description
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. 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.
year | journal | country | edition | language |
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2011-01-23 |