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CASIA Face Anti-Spoofing Database Access API for Bob

Project description

CASIA Face Anti-Spoofing Database Interface for Bob

This package is part of the signal-processing and machine learning toolbox Bob. This package contains the Bob accessor methods to use the CASIA-FASD directly from python, with our certified protocols. The actual raw data for CASIA FASD database should be downloaded from the original URL. The CASIA-FASD database is a spoofing attack database which consists of three types of attacks: warped printed photographs, printed photographs with cut eyes and video attacks. The samples are taken with three types of cameras: low quality, normal quality and high quality.


Z. Zhang, J. Yan, S. Lei, D. Yi, S. Z. Li: "A Face Antispoofing Database with Diverse Attacks", In proceedings of the 5th IAPR International Conference on Biometrics (ICB'12), New Delhi, India, 2012.


Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.db.casia_fasd


For questions or reporting issues to this software package, contact our development mailing list.

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