Face biometric verification dev iProov teams with Microblink
Face biometric verification and authentication technology developer iProov has partnered with AI-powered computer vision software Microblink.
Facial Recognition Software: Masks, Ethics & The Future | Forbes
Masks are affecting facial recognition software’s ability to read the human face and perform accurately during the pandemic. What are the other issues facing the technology and how is America responding to the sudden disruption?
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How Hackers Break Face Recognitin and How to Fight Back with Anti Spoofing
Face ID verification with anti-spoofing – https://www.onesmartlab.com/face-id-verification/
Identity Verification Spoofing With Deepfakes
During the past year, we have worked on new research. We wondered how strong commercial biometrics KYC (Know Your Customer) solutions are to detect presentation and replay attacks with deepfakes like face morphing, face swap, and face reenactment. Today, this technology allows us to replicate anyone’s face without a training dataset; one picture, such as the picture on the ID card, passport, or driver’s license, is sufficient to create a real-time deepfake video. In the wrong hands, it can be a powerful weapon. For this reason, we tested 10 of the top identity verification providers. We found out that all of them, systematically, are vulnerable to spoofing by deepfakes.
https://github.com/sensity-ai/dot
Face Verification – Biometric identity authentication for secure mobile and web applications
Neurotechnology Face Verification system is designed for the integration of facial authentication into enterprise and consumer applications for mobile devices and PCs. The simple API helps to implement solutions like digital onboarding, payment, e-services, and all other applications that need enhanced security through biometric face recognition and presentation attack detection. The library size for the devices is small and it is inclusive of all functionalities also available on the server component, with the possibility to perform authentication both online and offline.
Vilnius, Lithuania – February 2, 2023 – Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, announced the release of their new Face Verification system. Face Verification 13.0 is designed for the integration of high-quality face capture, secure facial authentication and robust face liveness detection into mobile and web applications. It includes a small-footprint version of Neurotechnology’s latest facial recognition algorithm – which ranked among the top results in the NIST FRVT 1:1 evaluation – making it ideal for digital identity onboarding, payment, banking, telecommunications and other face recognition uses on personal devices.
For more information please visit:
– https://neurotechnology.com/press_release_face_verification_13.html
– https://neurotechnology.com/face-verification.html