IEEE P2790/D4.0, Aug 2019
IEEE Draft Standard for Biometric Liveness Detection
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- Language: English
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About This Item
IEEE P2790/D4.0, Aug 2019 is a draft standard for biometric liveness detection in computing and processing environments. It addresses methods intended to help distinguish a live biometric sample from a spoofed or non-live presentation, supporting more reliable identity verification workflows. For systems that depend on face, fingerprint, or similar biometric inputs, IEEE P2790/D4.0, Aug 2019 provides a technical reference that can help improve consistency, testing, and risk management during development and evaluation.
What is IEEE P2790/D4.0, Aug 2019?
This document is an IEEE draft standard focused on biometric liveness detection, a specialized area within computing and processing. Its purpose is to define or guide technical expectations for detecting whether a presented biometric trait comes from a live person rather than an artificial replica, recorded sample, or other presentation attack. IEEE P2790/D4.0, Aug 2019 is relevant to systems that need dependable liveness checks as part of biometric enrollment, authentication, or verification processes.
Where is IEEE P2790/D4.0, Aug 2019 used?
IEEE P2790/D4.0, Aug 2019 is commonly relevant in biometric terminals, access-control devices, and identity verification workflows where liveness detection is part of the decision process. It may be used in software and hardware designs that evaluate facial, fingerprint, or other biometric inputs in secure computing environments. The standard is also useful during product testing, vendor evaluation, and compliance planning when teams need a shared technical basis for liveness-related functions and performance checks.
Why is IEEE P2790/D4.0, Aug 2019 important?
Biometric systems can be vulnerable if they accept spoofed samples or replayed data, so a draft standard such as IEEE P2790/D4.0, Aug 2019 can help bring structure to design and testing. It supports more consistent requirements, clearer evaluation methods, and better alignment between developers, integrators, and purchasers. In practice, that can reduce implementation risk, improve trust in authentication results, and help organizations compare liveness detection capabilities with greater confidence.
- Biometric liveness detection requirements
- Draft technical guidance for computing systems
- Authentication and verification workflows
- Testing against spoof and presentation attacks
- Design and evaluation reference
- Publication Date: 2019
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
- This Version: P2790 (2019)
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