Facial liveness detection ensures that fraudsters cannot use high resolution print outs, masks or video to spoof face recognition systems used for authentication and identity verification. However, not all solutions take the same approach and many sacrifice the user experience for accuracy, resulting in frustration and confusion.
In this whitepaper, we discuss AI-powered facial liveness detection in detail including the pros and cons of passive and active approaches.
Read the paper to learn:
- What facial liveness detection is and why it is critically important in identity verification and authentication
- How it works
- The two approaches to detecting liveness – active and passive – including a comparison of usability, speed, technical requirements, and robustness to spoofing.
- Use cases including digital onboarding, physical access, and mobile authentication
- Important considerations when selecting a solution
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