============= Introduction The RECOD Mobile Presentation-Attack Dataset (RECOD-MPAD) is intended for the study of presentation attacks (PAs, also known as spoof attempts) to facial recognition systems in mobile devices. It consists of frames depicting genuine attempts of unlocking a smartphone, as well as two types of presentation attacks: using printouts of the user face; or using electronic displays showing the user's face. More details can be found in the accompanying paper: Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function Waldir R. Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Ricardo da S. Torres, Jacques Wainer, Anderson Rocha PLoS ONE, 2020 (https://doi.org/10.1371/journal.pone.0238058) This dataset was developed as part of a research project at the RECOD lab of the Institute of Computing, University of Campinas, Brazil. ========== Statistics Number of users: 45 Men: 30/45 Glasses: 14/45 Beard: 13/45 Age range: 18-50 ============================= Basic metadata and file names Name format: <device>_<session>_<user>_<label>_<frame> Label: 0: real, genuine access attempt 1: printout attack - recaptured indoors 2: printout attack - recaptured outdoors (more light) 3: screen attack - large display (CCE TV) 4: screen attack - medium-sized display (HP monitor) Device: 1: motog3 2: xt1572 Session: 1: outdoors natural direct light 2: outdoors natural diffuse light/shadow 3: indoors, top main light 4: indoors, side light (sunlight coming through window or door) 5: indoors, low-light / noisy Example: 1_5_20_00_0050 ====================== Additional information In each sequence, the volunteers followed the same instructions: - Hold the phone as if using it normally, but keep close-to-frontal viewing angles - Rotate slowly (to change lighting and background)