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Aware passes level 1 and 2 face biometric spoof attack detection testing from iBeta with no errors

Aware passes level 1 and 2 face biometric spoof attack detection testing from iBeta with no errors

Aware’s Knomi biometric facial recognition has passed presentation attack detection (PAD) testing levels 1 and 2, in an evaluation of the technology by iBeta Quality Assurance based on ISO/IEC 30107-3 standards.

Few biometrics providers have passed both levels 1 and 2, and Aware says it is the only one to do so against the latest standards, which are more stringent.

Knomi was found by iBeta to have an Attack Presentation Classification Error Rate (APCER), or false accept, of 0 percent at the Bona-fide Presentation Classification Error Rate (BPCER) or false rejection rate specified on both Android and iOS mobile edge devices. The test included hundreds of presentation attacks using real biometric samples to create artefacts, including high quality photos, 2D and 3D masks, videos, mannequins, and animation software.

Knomi provides a mobile biometric authentication framework with passive liveness technology to enable secure, un-proctored biometric registration and sign-ins. The passive facial liveness capability was added to Knomi in May.

“We are thrilled that Knomi passed the iBeta level 1 & 2 standards,” says Dr. Mohamed Lazzouni, chief technology officer at Aware. “Aware invested considerable time, research and development in the Knomi offering to ensure that we deliver the highest level of security, while also providing a frictionless user experience.”

“Anti-spoofing is not a theory to us; it is a fundamental aspect that powers our Knomi platform in response to increased demand from business and security professionals to enable trust in the identity space,” Dr. Lazzouni continues. “Third-party verification that we effectively implemented anti-spoofing resilience in our design, further supports our drive to bring identity solutions to life so users can own their identity.”

The latest version of Knomi was launched with device-centric features for facial recognition and biometric liveness checks earlier this month.

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