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Released: 24.04.2020

IEEE 2790-2020 - IEEE Standard for Biometric Liveness Detection

IEEE Standard for Biometric Liveness Detection

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Standard number:IEEE 2790-2020
Released:24.04.2020
ISBN:978-1-5044-6576-2
Pages:24
Status:Active
Language:English
DESCRIPTION

IEEE 2790-2020

This document establishes terms and definitions in the field of biometric liveness detection and identifies characteristics of lifeless attacks and liveness detection methods, with analysis of lifeless attack instruments (LAIs). In addition, this document specifies liveness detection process and metrics. The following is outside of the scope of this document: Standardization of specific liveness detection methods; Detailed information about countermeasures, algorithms, or sensors; Overall system-level security; Security evaluation and vulnerability assessment; Integrated implementation of liveness detection subsystem within general biometric framework

This document provides a foundation for biometric liveness detection through which lifeless attacks can be specified, detected, and subsequently categorized and analyzed for biometric system performance.

New IEEE Standard - Active. A biometric lifeless attack is one of the indispensable issues within biometric authentication. There are three major components in liveness detection systems: lifeless attack presentation, liveness detection, and lifeless attack instruments. The lifeless attack presentation is divided into artifact presentation and human-based presentation. The liveness detection method includes subject-based and scenario-based solutions, as well as other attributes such as decision elements, detection patterns, and implementations. The lifeless attack instrument is specified from aspects such as production elements, production types of artifacts, efficacy, etc. This document establishes terms and definitions in the field of biometric liveness detection and identifies characterizations of lifeless attack and liveness detection methods, with analysis on lifeless attack instruments. In addition, this document specifies the liveness detection process, implementation model, and metrics.