ISO/IEC 29794-5:2025
Information technology — Biometric sample quality — Part 5: Face image data
Information technology — Biometric sample quality — Part 5: Face image data
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 63
- Дата публикации:
- 16 апреля 2025 г.
- Издание:
- ISO/IEC IS 29794 edition 1 version 1
- ICS:
- 35.240.15
This document establishes requirements on implementations that quantify how a face image’s properties conform with those of canonical face images, for example those specified in ISO/IEC 39794-5:2019, Clause D.1, for three use-cases: 1) collection of reference samples for ID documents; 2) sample system enrolment; and 3) probes for instantaneous response. This document also establishes terms and definitions for quantifying face image quality and specifies methods for quantifying the quality of face images. This document does not establish requirements on: — assessing the quality of pairs or sequences of images; NOTE This document establishes requirements for software that inspects exactly one image. This document does not establish requirements for software that compares two or more images (such as biometric recognition). However, the computations of this document can be applied separately to each image in a pair or sequence. — assessing the quality of 3D captures; — encodings of face image quality data; — performance evaluation of face image quality assessment algorithms. The use cases within scope of this document primarily address the assessment of images from data capture subjects who consent to processing of their biometric data, or for whom biometric capture is operationally authorized.
Abstract
Overview
ISO/IEC 29794-5:2025 - "Information technology - Biometric sample quality - Part 5: Face image data" defines requirements and methods for assessing face image quality for single-image inspections. The standard specifies how implementations should quantify a face image’s properties against canonical face images (for example, those in ISO/IEC 39794-5:2019) for three primary use-cases:
- collection of reference samples for ID documents,
- sample system enrolment, and
- probes for instantaneous response.
It includes terms, definitions and algorithmic computations for face image quality assessment (FIQA), while explicitly excluding multi-image comparison, 3D capture assessment, quality-data encodings and algorithm performance evaluation.
Key topics and technical requirements
ISO/IEC 29794-5:2025 focuses on measurable, reproducible quality components and provides required computations and mappings. Major technical topics include:
- Common computations: image conversions, face detection, landmark estimation, alignment, face parsing, occlusion segmentation, head-pose estimation, luminance and color space conversions, histograms and entropy.
- Quality measures: a unified quality score model plus individual components grouped as:
- Capture-related: background uniformity, illumination uniformity, dynamic range, sharpness, compression artifacts, natural colour.
- Subject-related: single-face presence, eyes open/visible, mouth closed, occlusions, inter-eye distance, head size and crop, head pose, expression neutrality, no head covering.
- Quality block and encodings: guidance on binary and XML quality blocks and identifiers for organization/algorithm provenance.
- Conformance and testing: conformance assertions and informative annexes covering quantitative goals, applications, testing reports and sequential use guidance.
The document mandates that quality assessment software inspects exactly one image; many component computations and mappings are standardized to ensure interoperable quality outputs.
Applications and users
Practical applications of ISO/IEC 29794-5:2025 include:
- ID document capture and issuance (passport, driver’s license)
- Biometric enrolment systems and self-service kiosks
- Border control and biometric exit/entry systems
- Access control and identity verification services (mobile apps, banking)
- Camera and imaging system design where face capture quality is critical
Primary users: biometric engineers, FIQA algorithm developers, system integrators, device manufacturers, government agencies, testing laboratories and product managers who need standardized face image quality metrics to reduce recognition errors and improve capture usability.
Related standards
- ISO/IEC 39794-5:2019 (canonical face image specifications) - referenced for conformity targets.
- Other parts of the ISO/IEC 29794 series - for broader biometric sample quality guidance.
Keywords: ISO/IEC 29794-5, face image quality, biometric sample quality, face image data, face image quality assessment, FIQA, biometric capture.
Технические детали
- Технический комитет
- ISO/IEC JTC 1/SC 37 - Biometrics
- SKU
- ISO/IEC 29794-5:2025
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