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@TECHREPORT{Marcel02-49IRR,
         author = {Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {Robust Face Verification using Skin Color and Neural Networks},
           type = {Idiap-RR},
         number = {Idiap-RR-49-2002},
           year = {2002},
    institution = {IDIAP},
       abstract = {The performance of face verification systems has steadily improved over the last few years. State-of-the-art methods often use the gray-scale face image as input. In this paper, we use an additional feature to the face image: the skin color. The feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the proposed model achieves robust state-of-the-art results.},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-49.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-49.ps.gz},
ipdinar={2002},
ipdmembership={vision},
language={English},
}