Face presentation attack detection using deep background subtraction

HIGHLIGHTS

  • who: Azeddine Benlamoudi and colleagues from the Laboratoire de Génie Électrique, Faculté des Nouvelles Technologies de l'Information et de la Communication, Department of Computer Science and Artificial Intelligence, Faculty of Informatics, University of the Basque UMR, iBrain, INSERM, Université de Tours, Tours, France have published the Article: Face Presentation Attack Detection Using Deep Background Subtraction, in the Journal: Sensors 2022, 22, 3760. of /2022/
  • what: Based on a combination of_(BS) and convolutional neural network(s) (CNN) as well as an ensemble of classifiers the authors propose an efficient and more robust attack . . .

     

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