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MSU Mobile Face Spoofing Database

The MSU Mobile Face Spoofing Database (MFSD) is a benchmark dataset for face anti-spoofing. It consists of 8 videos of 35 subjects. The video frames are extracted, face localization is performed using Viola Jones Harr Cascade, and sample faces are randomly split into training, validation and testing sets.

Data and Resources

Cite this as

Chaitanya Nagpal, Shiv Ram Dubey (2024). Dataset: MSU Mobile Face Spoofing Database. https://doi.org/10.57702/jvxn39ys

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Chaitanya Nagpal
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Shiv Ram Dubey