The use of facial recognition for authentication is becoming increasingly prevalent — especially on mobile devices. But between easy access to images on social media and advances in digital and print image resolution, biometric systems have security gaps that fraudsters can exploit to successfully spoof a facial recognition system. These spoofs, called presentation attacks, include printed photos, cutout masks, digital and video replay attacks, and 3D masks.
Passive Facial Liveness Detection
Fight Face Recognition Spoofing
Learn More About IDLive Face
What is Facial Liveness Detection?
Facial liveness has emerged as a way to fight fraud and ensure the integrity of face biometrics as a means of authentication or identity verification. Whereas face recognition can accurately answer the question “Is this the right person?” it doesn’t answer the question, “Is this a real person?”. This is the role of liveness detection.
Facial liveness detection works with facial recognition to determine if a biometric sample is being captured from a living subject who is present at the point of capture. As such, it stops fraudsters from using presentation attacks to spoof a facial recognition system.
IDLive Face: A New Generation of Passive Liveness Detection for Face Recognition
The benefit of liveness detection is improved security and fraud detection. The benefit of ID R&D’s passive face liveness is that it is both secure and easy to use. Whereas other products add extra steps and time to the liveness check, IDLive Face is imperceptible to customers who don’t even know it’s happening. And, the software gives no clues to fraudsters on how to beat it. Because passive liveness is less confusing for users, abandonment rates are greatly reduced and less human intervention is needed.
IDLive Face is the world’s first passive facial liveness detection product to identify spoofing attempts based on the same selfie used for facial matching and NO user participation — no smiling, blinking, head-turning, lights flashing, or moving the camera. This unique single image liveness detection approach is fast, accurate, and doesn’t require any capture-side software. The product uses patent-pending methodologies and a Deep Neural Network (DNN) based approach that examines different elements of the image to detect artifacts that help distinguish between a photo of a live person and a presentation attack. Read the single image facial liveness tech brief.
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Make the switch from Active to Passive Facial Liveness
Understanding passive vs. active facial liveness is crucial. Most of today’s facial liveness technologies are “active”, requiring users to blink, turning their heads or move their phone back and forth. This results in three issues: First, fraudsters can present a photo with cut out with eye holes, use a mask or show a video to trick the system. Second, challenge-response techniques put attackers on alert that they are being checked. And lastly, active methods create friction that slows the authentication process, increases abandon rates and diminishes the overall user experience.
The team at ID R&D has worked relentlessly to ensure you don’t have to sacrifice usability for security. Customers and partners who have made the switch from active to passive facial liveness, report significant reduction in abandonment, lower false rejections of real users, and highly accurate presentation attack detection.
IDLive Face is the only single frame passive liveness product to achieve iBeta Levels 1 and 2 ISO/IEC 30107-3 presentation attack detection (PAD) compliance with a perfect score. Read more about iBeta here.
Passive Facial Liveness Detection Use Cases
ID R&D passive liveness is the choice of leading identity and access management vendors, onboarding and KYC providers, access control companies, IoT developers, and enterprise customers worldwide. IDLive Face is deployed in 50 countries, supporting and millions of liveness checks each month. The product is used in a range of use cases across financial, government, travel, healthcare, building management and more.
IDLive Face is packaged as an SDK and as a Docker with a simple RESTful API. Additionally, a mobile SDK (beta) is now offered for FIDO-compliant, on-device deployment. IDLive Face Mobile SDK runs on Android and iOS.