ISO/IEC 29794-6:2015
Information technology — Biometric sample quality — Part 6: Iris image data
ISO/IEC 29794-6:2015 establishes: methods used to quantify the quality of iris images, normative requirements on software and hardware producing iris images, normative requirements on software and hardware measuring the utility of iris images, terms and definitions for quantifying iris image quality, and standardized encoding of iris image quality.
Outside the scope is performance evaluation of specific iris quality assessment algorithms.
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Foreword
Introduction
1 Scope
2 Conformance
3 Normative references
4 Terms and definitions
5 Acronyms and abbreviated terms
6 Iris image quality metrics
6.1 General
6.2 Required iris image quality metrics computed from a single image
6.2.1 Usable iris area
6.2.2 Iris-sclera contrast
6.2.3 Iris-pupil contrast
6.2.4 Pupil boundary circularity
6.2.5 Grey scale utilisation
6.2.6 Iris radius
6.2.7 Pupil dilation
6.2.8 Iris pupil concentricity
6.2.9 Margin adequacy
6.2.10 Sharpness
6.3 Recommended iris image quality metrics computed from a single image
6.3.1 Frontal gaze–elevation
6.3.2 Frontal gaze-azimuth
6.3.3 Motion blur
6.4 Iris image quality metrics computed from two images
6.4.1 Common usable iris area
6.4.2 Dilation constancy
6.4.3 Illumination similarity
6.5 Unified (overall) quality score
6.5.1 General
6.5.2 Computational method
7 Iris acquisition quality
7.1 General
7.2 Dedicated illumination
7.2.1 Description
7.2.2 Units of measure
7.2.3 Computational method
7.2.4 Value range/threshold
7.3 Modulation transfer function
7.3.1 Description
7.3.2 Units of measure
7.3.3 Computational method
7.3.4 Value range/threshold
7.4 Spatial sampling rate
7.4.1 Description
7.4.2 Units of measure
7.4.3 Computational method
7.4.4 Value range/threshold
7.5 Optical distortion
7.6 Pixel aspect ratio
7.6.1 Description
7.6.2 Units of measure
7.6.3 Computational method
7.6.4 Value range/threshold
7.7 Sensor signal-to-noise ratio
7.7.1 Description
7.7.2 Units of measure
7.7.3 Computational method
7.7.4 Value range/threshold
8 Iris image quality data record
8.1 Binary encoding
8.2 XML encoding
Annex A (normative) Conformance test assertions
Annex B (informative) Iris image quality
Bibliography
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Foreword
Introduction
1 Scope
2 Conformance
3 Normative references
4 Terms and definitions
5 Acronyms and abbreviated terms
6 Iris image quality metrics
6.1 General
6.2 Required iris image quality metrics computed from a single image
6.2.1 Usable iris area
6.2.2 Iris-sclera contrast
6.2.3 Iris-pupil contrast
6.2.4 Pupil boundary circularity
6.2.5 Grey scale utilisation
6.2.6 Iris radius
6.2.7 Pupil dilation
6.2.8 Iris pupil concentricity
6.2.9 Margin adequacy
6.2.10 Sharpness
6.3 Recommended iris image quality metrics computed from a single image
6.3.1 Frontal gaze–elevation
6.3.2 Frontal gaze-azimuth
6.3.3 Motion blur
6.4 Iris image quality metrics computed from two images
6.4.1 Common usable iris area
6.4.2 Dilation constancy
6.4.3 Illumination similarity
6.5 Unified (overall) quality score
6.5.1 General
6.5.2 Computational method
7 Iris acquisition quality
7.1 General
7.2 Dedicated illumination
7.2.1 Description
7.2.2 Units of measure
7.2.3 Computational method
7.2.4 Value range/threshold
7.3 Modulation transfer function
7.3.1 Description
7.3.2 Units of measure
7.3.3 Computational method
7.3.4 Value range/threshold
7.4 Spatial sampling rate
7.4.1 Description
7.4.2 Units of measure
7.4.3 Computational method
7.4.4 Value range/threshold
7.5 Optical distortion
7.6 Pixel aspect ratio
7.6.1 Description
7.6.2 Units of measure
7.6.3 Computational method
7.6.4 Value range/threshold
7.7 Sensor signal-to-noise ratio
7.7.1 Description
7.7.2 Units of measure
7.7.3 Computational method
7.7.4 Value range/threshold
8 Iris image quality data record
8.1 Binary encoding
8.2 XML encoding
Annex A (normative) Conformance test assertions
Annex B (informative) Iris image quality
Bibliography