IDScan.net’s Anti-Spoofing engine prevents a single photograph from being used in facial recognition. It is available as part of IDScan.net’s facial recognition solution or via IDScan.net’s anti-spoofing SDK.
How it Works
The Anti-Spoofing technology uses modern convolutional neuron web for the detection of fake photos, Which performs a 3-dimensional scan of the individual’s face. This fast mechanism of fake photo detection eliminates the need for 3d cameras or detectors.
What it Prevents
- Print Attack. The attacker uses a photo of another person. The photo is printed or displayed on a digital device.
- Replay/Video Attack. This is a more sophisticated spoofing technique that requires a looped video of another person’s face. This approach ensures behavior and facial movements look ‘natural’ compared to a print photo.
3D Mask Attack. The most sophisticated and most common type of attack, a 3D mask it enables ways to deceive some extra layers of protection such as depth sensors, as well as natural facial movements.