Smart2DPAD

Smart2DPAD Database

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:

• For real videos, please refer CASIA-FASD database. The videos of the first 20 subjects are used for training and the remaining 30 for testing.
• Normal Attack (Set A): It contains videos of 50 subjects. The videos of the first 20 subjects (01-20) are used for training the classifier, whereas, the videos of remaining subjects (21-50) are used for evaluation.
• Set B, Set C, and Set D: It only contains the videos of testing subjects (21-50). The PAD trained on the normal attack (Set A) is used on these sets for presentation attack detection.
• SSet E: It refers to the videos collected in low brightness of the attacking medium. It only contains videos of testing subjects (21-50). Set A refers to the high brightness videos. The PAD trained on the normal attack (Set A) is used on these sets for presentation attack detection.

The database can be downloaded from the following link.

Smart2D-PAD (2.29 GB)

• To obtain the password for the compressed file, email the duly filled license agreement to databases@iab-rubric.org with the subject line "License agreement for SmartPhone Fingerphoto Database V1 (ISPFDv1)"
  NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
  
  This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, you must refer to the following paper:
• A. Agarwal, A. Sehwag, M. Vatsa, and R. Singh, Deceiving Face Presentation Attack Detection via Image Transforms, In IEEE International Conference on Multimedia Big Data (BigMM), 2019.

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