Face presentation attack detection using deep background subtraction

HIGHLIGHTS

• who: Azeddine Benlamoudi et al. from the Laboratoire de Gu00e9nie u00c9lectrique, Facultu00e9 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, Universitu00e9 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 detection . . .
  

   

  

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