The Replay Mobile Face Presentation Attack Database
For face authentication to become widespread on mobile devices, robust countermeasures must be developed for face presentation attack detection (PAD) Existing databases for evaluating face PAD methods do not capture the specific characteristics of mobile devices. We introduce a new database, REPLAY MOBILE, for this purpose.1 This publicly available database includes 1,200 videos corresponding to 40 clients. Besides the genuine videos, the database contains a variety of presentation attacks. The database also provides three non overlapping sets for training, validating and testing classifiers for the face PAD problem. This will help researchers in comparing new approaches to existing algorithms in a standardized fashion. For this purpose, we also provide baseline results with state of the art approaches based on image quality analysis and face texture analysis.
2016 International Conference of the Biometrics Special Interest Group (BIOSIG)