CyberLink’s FaceMe Achieves Perfect Score and is Granted Level 2 Certification in iBeta’s Advanced Anti-Spoofing Test

A 100% spoofing-prevention rate for both 3D printed and resin facial masks, confirms FaceMe as a leading facial recognition solution for preventing biometric fraud in remote applications, such as online banking, requiring identity verification before granting access to sensitive data or valuable assets.

CyberLink Corp, a pioneer in AI and facial recognition, announced its FaceMe facial recognition solution achieved a perfect score in iBeta’s Presentation Attack Detection (PAD) test, earning a level 2 certification. This distinction requires protection from higher-level fraud attacks with 3D masks, and FaceMe achieved a perfect score at 100% spoofing prevention, solidifying its position as a leading facial recognition tool for combatting biometric fraud.

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“Biometric fraud prevention is one of the most critical imperatives for sectors of the economy such as fintech, where a security breach can take catastrophic proportions, but also wherever users are demanding remote access to sensitive data, fueling an explosive demand for remote authentication”

iBeta is one of the world’s few agencies accredited by US National Institute of Standards and Technology National Voluntary Laboratory Accreditation Program (NIST NVLAP) for biometric testing. iBeta’s PAD test is an international benchmark for spoofing tests as it’s ISO-IEC 30107-3 compliant, an industrial standard for facial recognition technology’s anti-spoofing capability.

FaceMe was first certified level 1 in the PAD test in late 2021, which focuses on presentations from 2D photos and videos. The level 2 test uses more sophisticated presentation attacks from 3D masks, such as 3D printed masks, resin masks, or latex masks. FaceMe has achieved an Attack Presentation Classification Error Rate (APCER) of 0%, meaning the technology is extremely reliable in preventing attacks from any form of 3D masks. In addition, the Bona Fide Presentation Classification Error Rate (BPCER) is as low as 1.5% on iOS devices and 2.5% on Android device. In other words, FaceMe achieved respective success rates of 98.5% and 97.5% when the test subject was a real person, placing it among the top facial recognition solutions for preventing biometric fraud attempts from a variety of techniques. Robust anti-spoofing is necessary to validate users’ identity for remote applications such as online banking, shopping for age-restricted products or even logging to the intranet at work.

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“Biometric fraud prevention is one of the most critical imperatives for sectors of the economy such as fintech, where a security breach can take catastrophic proportions, but also wherever users are demanding remote access to sensitive data, fueling an explosive demand for remote authentication,” said Dr. Jau Huang, CEO of CyberLink. “The iBeta PAD test is widely recognized as the global standard for certifying the spoofing prevention performance of facial recognition technology offerings. Achieving Level 2 certification with a perfect score, anchors FaceMe as one of the very best facial recognition solutions to protect access from biometric fraud, even when presented with the most sophisticated attacks from 3D masks.”

FaceMe is optimized to run across hardware configurations, from high-end workstations to low-power chipsets frequently used in IoT and AIoT devices. It is the most versatile and adaptable facial recognition offering on the market . FaceMe provides solution builders and system integrators a fast, reliable, precise, and flexible facial recognition technology that can be deployed across multiple scenarios including security, access control, public safety, fintech, smart retail and home protection.

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