%0 Conference Paper %F Oral %T Comparative study of deep learning and classical methods applied to face authentication in context of high constraints application %+ Imagerie et Vision Artificielle [Dijon] (ImViA) %+ Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i) %+ Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i) %+ Equipe CORES [ImViA - EA7535] (CORES) %A Bonazza, Pierre %A Mitéran, Johel %A Ginhac, Dominique %A Dubois, Julien %< avec comité de lecture %B SPIE Security and Defence %C Berlin, Germany %8 2018-09 %D 2018 %Z Engineering Sciences [physics]/Signal and Image processingConference papers %G English %L hal-02766589 %U https://u-bourgogne.hal.science/hal-02766589 %~ UNIV-BOURGOGNE %~ CNRS %~ UNIV-BM %~ ENSAM %~ LE2I %~ UNIV-BM-THESE %~ AGREENIUM %~ IMVIA %~ CORES %~ ARTS-ET-METIERS-SCIENCES-ET-TECHNOLOGIES %~ HESAM %~ HESAM-ENSAM %~ INSTITUT-AGRO