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Fake face detection

Recently, face recognition programs on smart devices have been getting more attention due to their ease of use and quick secure access to programs and features. Android phones using Ice Cream Sandwich provide ‘Face-Unlock’ instead of password, PIN or pattern to secure personal privacy.

Although face recognition has many advantages, the concern about ‘Fake Face Attacks’ is highly warranted. Face recognition systems cannot be practically used without proper countermeasures to this threat. Even when compared to a fingerprint, a face can be more easily imitated using printed papers and LCD-displays.

There have been many attempts to overcome this issue: hardware-dependent approaches such as facial thermogram, facial vein and 3D depth information require incredibly expensive hardware making it unfeasible for practical use and conventional algorithm-based methods using 2D images, which up to now, have not been accurate and required exhaustive calculations/computing power.

Suprema’s Fake Face Detection technology combines cutting-edge technology with advanced proprietary algorithms. A dual camera system captures both visible and IR images which are then processed using advanced image analysis techniques and intelligent machine learning based classifiers. A fake face is detected by estimating specific features and their distribution compared with reference models of real faces.

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