< Antispoofing > Data Augmentation in Face Antispoofing

How dose people spoof a digital device with face recognition

To attack a image recognition system is easy. Even to change a single pixel could successfully let the recognition system lose efficiency. So people would use the loophole to simulate a set of fake images to spoof the face recognition system.

So in order to defense the spoofing, we should simulate all the possible attacking conditions in the real life with limited training dataset.

Ways to simulate the spoofing conditions through data augmentation

The following data augmentation manner could simulate parts of the attacking condition.

• light condition
• image color
• face location
• image noise
• background proportion