The BixeLab-tested face liveness detection capability based on the ISO/IEC 30107-3 standard is implemented in MegaMatcher ID 2025.2.

NEW YORK--(BUSINESS WIRE)--Humans have far greater difficulty identifying images of biometric spoofing attacks compared to computers performing the same task, according to research released today by ...

Watch where you leave your fingerprints - soon they could be the target of thieves looking to break into your bank account. Although biometric security systems - using fingerprints, iris scans and ...

Silicone fingers, rubber masks that imitate a person’s face, ear molds made of gelatin, and recordings indistinguishable from a live human voice. These are some of the tools criminals use to deceive ...

In Southern Africa, almost nine in ten (87 percent) rejected biometric verification attempts were connected to AI-assisted impersonation and spoofing.

Liveness detection is a biometric security feature designed to determine whether the biometric data, such as a facial image, fingerprint, or voice, comes from a real, live person rather than a fake or ...

Identy.io announced that its Face SDK v6.3.0 has achieved NIST ISO 30107-3 Level 2 Presentation Attack Detection (PAD) certification with a perfect score, following independent testing by iBeta ...

Paper: GestSpoof: Gesture Based Spatio-Temporal Representation Learning For Robust Fingerprint Presentation Attack Detection. - FG 2024 Abstract: Fingerprint spoof attacks represent one of the most ...