ID R&D’s passive facial biometric liveness solution passes iBeta Presentation Attack Detection
ID R&D’s facial liveness detection solution, IDLive Face v1.9 passed Level 1 Presentation Attack Detection (PAD) testing by iBeta with a perfect PAD score, which now makes it compliant with ISO/IEC 30107-3, the company announced at CES 2020 in Las Vegas.
“As increasing numbers of enterprises recognize that liveness detection is a necessity for biometric systems, ID R&D is driving the industry toward more secure yet frictionless authentication,” said Alexey Khitrov, President of ID R&D. “Achieving iBeta compliance with a fully passive product that is a clear improvement over existing liveness solutions which require unnecessary user effort, is a true milestone. iBeta is established in the biometrics space as a trusted, transparent, and independent voice. We are excited to share iBeta’s results which underscore the effectiveness of our solution.”
IDLive Face was released in August 2019. It is a biometric solution that leverages artificial intelligence-based algorithms to run liveness validation without any action from the end user. Its passive facial liveness detection removes user experience friction.
IDLive Face can identity a person in front of a device and differentiate it from a Presentation Attack which can be a photo, video, a cutout or a mask. It is device agnostic and all it needs is one picture to run liveness check.
Shortly after release, ID R&D signed its first IDLive Face customer in Southeast Asia.
The technology can be customized for different deployments, from legacy software to the newest and most innovative apps. ID R&D’s product portfolio includes voice, face, and behavioral biometric authentication solutions and audio event detection.
Liveness analysis is an important feature in facial recognition match integrity. In the past, older generations of biometric systems had to use hardware solutions or asked users to prove liveness by blinking, smiling or turning their head and providing a selfie for facial recognition.
IDLive Face promises seamless user experience and enhanced security for account onboarding in Know-Your-Customer (KYC) processes and repeated frequent authentication. The solution makes it easy to integrate liveness with facial recognition in mobile apps or web-based or stand-alone devices, without requiring extra steps for anti-spoof check.
Combined with voice biometrics and passive voice liveness, mobile applications now benefit from an optimized multimodal biometric solution for Strong Customer Authentication (SCA) in the PSD2 specifications for payments. Available as a C++ SDK or as a Docker image, IDLive Face works with third-party facial recognition systems.
“Delivering the highest level of security while also providing a frictionless user experience is our constant mission,” said Konstantin Simonchik, ID R&D Chief Science Officer. “This is extremely difficult to achieve. We invested many man-years to develop the ideal user experience for liveness, a completely passive liveness check, and are proud that our software is also now compliant by the industry’s premier biometric testing lab.”
iBeta is the only accredited biometrics testing lab by the National Institute of Standards and Technology (NIST) under the National Voluntary Laboratory Accreditation Program (NVLAP). Its Quality Management System and biometrics test procedures are audited by NVLAP. iBeta Quality Assurance conducts biometric testing for wearable and mobile devices using the modalities of facial recognition, palm recognition, voice recognition, and fingerprint recognition.
In the IDLive Face process of evaluation, iBeta ran thousands of presentation attacks based on genuine biometric samples such as photo printouts, mobile device-based photos, and videos captured on mobile phones and laptops. All presentation attacks failed.
ID R&D earned an Attack Presentation Classification Error Rate (APCER) of 0% and reached compliance with ISO/IEC 30107-3.
ID R&D scored the lowest error rate for logical access in voice biometric spoofing challenge in September 2019.
artificial intelligence | biometric liveness detection | biometric testing | biometrics | iBeta | ID R&D | passive facial liveness | presentation attack detection