We have proposed the smart 2D video-based face presentation attack (i.e., replay attack) using image intensity transforms. The database contains the real and attack videos of 50 subjects. The real part of the database is taken from a high-quality subset of CASIA-FASD database. The real videos are captured using a high-quality camera with 1, 280 × 720 resolution. The attack dataset consists of five different subsets: one being the normal attack set and four are grouped under Image Transformation attack. In order to perform the attack, we have used the android phone with full HD display and high-quality USB camera with resolution 1, 920 × 1, 080. In place of using the attack videos of CASIA-FASD database, we have collected the attack videos to keep the device and other environmental factors consistent while capturing different sets of attack videos. The attack videos in this research can be broadly divided into two categories: (i) input transformation-based and (ii) screen brightness based.The directory structure of smart 2D presentation attack database (Smart2D-PAD) and protocol for evaluation:
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