ISO/IEC 29794-5
(Main)Information technology — Biometric sample quality — Part 5: Face image data
Information technology — Biometric sample quality — Part 5: Face image data
Technologies de l'information — Qualité d'échantillon biométrique — Partie 5: Données d'image de face
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International
Standard
ISO/IEC
FDIS
29794-5
ISO/IEC JTC 1/SC 37
Information technology —
Secretariat: ANSI
Biometric sample quality —
Voting begins on:
2024-12-11
Part 5:
Face image data
Voting terminates on:
2025-02-05
RECIPIENTS OF THIS DRAFT ARE INVITED TO SUBMIT,
WITH THEIR COMMENTS, NOTIFICATION OF ANY
RELEVANT PATENT RIGHTS OF WHICH THEY ARE AWARE
AND TO PROVIDE SUPPOR TING DOCUMENTATION.
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BEING ACCEPTABLE FOR INDUSTRIAL, TECHNO
LOGICAL, COMMERCIAL AND USER PURPOSES, DRAFT
INTERNATIONAL STANDARDS MAY ON OCCASION HAVE
TO BE CONSIDERED IN THE LIGHT OF THEIR POTENTIAL
TO BECOME STAN DARDS TO WHICH REFERENCE MAY BE
MADE IN NATIONAL REGULATIONS.
Reference number
ISO/IEC FDIS 297945:2024(en) © ISO/IEC 2024
FINAL DRAFT
ISO/IEC FDIS 29794-5:2024(en)
International
Standard
ISO/IEC
FDIS
29794-5
ISO/IEC JTC 1/SC 37
Information technology —
Secretariat: ANSI
Biometric sample quality —
Voting begins on:
Part 5:
Face image data
Voting terminates on:
RECIPIENTS OF THIS DRAFT ARE INVITED TO SUBMIT,
WITH THEIR COMMENTS, NOTIFICATION OF ANY
RELEVANT PATENT RIGHTS OF WHICH THEY ARE AWARE
AND TO PROVIDE SUPPOR TING DOCUMENTATION.
© ISO/IEC 2024
IN ADDITION TO THEIR EVALUATION AS
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
BEING ACCEPTABLE FOR INDUSTRIAL, TECHNO
LOGICAL, COMMERCIAL AND USER PURPOSES, DRAFT
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
INTERNATIONAL STANDARDS MAY ON OCCASION HAVE
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
TO BE CONSIDERED IN THE LIGHT OF THEIR POTENTIAL
or ISO’s member body in the country of the requester.
TO BECOME STAN DARDS TO WHICH REFERENCE MAY BE
MADE IN NATIONAL REGULATIONS.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland Reference number
ISO/IEC FDIS 297945:2024(en) © ISO/IEC 2024
© ISO/IEC 2024 – All rights reserved
ii
ISO/IEC FDIS 29794-5:2024(en)
Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 2
4 Abbreviated terms . 4
5 Conformance . 4
6 Common computations . 6
6.1 Overview .6
6.2 Conversion of 16 bits per channel images to 8 bits per channel images .6
6.3 Conversion of high bit-depth images to 8 bit greyscale or 24 bit colour images .6
6.4 Face detection.7
6.5 Face landmark estimation .8
6.6 Landmarked region segmentation .10
6.7 Face alignment .11
6.8 Face parsing . 12
6.9 Face occlusion segmentation . 13
6.10 Computing eye centres and inter-eye distance .14
6.11 Head pose estimation .14
6.12 Conversion of 8-bits-per-channel colour images to luminance .16
6.13 Conversion of 8-bits-per-channel colour images to CIELAB space .16
6.14 Handling of greyscale images . .17
6.15 Luminance histogram .17
6.16 Entropy .18
6.17 Expressing binary quantities as continuous values .18
6.18 Representation and arithmetic of real and integer numbers .18
6.19 Normalization of image colour values .19
7 Quality measures . 19
7.1 General .19
7.2 Quality score (unified) . .19
7.2.1 Description .19
7.2.2 Computation of the native quality measure . 20
7.2.3 Mapping the computation result to the target range of the quality component . 20
7.3 Capture-related quality components . 20
7.3.1 General . 20
7.3.2 Background uniformity . .21
7.3.3 Illumination uniformity . 22
7.3.4 Moments of the luminance distribution . 23
7.3.5 Under-exposure prevention .24
7.3.6 Over-exposure prevention . 25
7.3.7 Dynamic range . 26
7.3.8 Sharpness . . . 26
7.3.9 No compression artefacts . 28
7.3.10 Natural colour . 28
7.4 Subject-related quality components . 30
7.4.1 General . 30
7.4.2 Single face present . 30
7.4.3 Eyes open .31
7.4.4 Mouth closed .32
7.4.5 Eyes visible .32
7.4.6 Mouth occlusion prevention . 33
7.4.7 Face occlusion prevention . 34
© ISO/IEC 2024 – All rights reserved
iii
ISO/IEC FDIS 29794-5:2024(en)
7.4.8 Inter-eye distance . . 35
7.4.9 Head size . 35
7.4.10 Crop of the face image . 36
7.4.11 Head pose . 38
7.4.12 Expression neutrality . 40
7.4.13 No head covering .41
8 Face image quality block . 41
8.1 Binary encoding .41
8.2 XML encoding .42
8.3 Organization identifiers .42
8.4 Algorithm identifiers .42
Annex A (normative) Conformance test assertions .
...
ISO/IEC FDIS 29794-5:2024(en)
ISO/IEC JTC 1/SC 37/WG 3
Date:2024-09-1311-25
Secretariat: ANSI
Information technology — Biometric sample quality — Part 5: Face image data
ISO/IEC FDIS 29794-5:2024(en)
© ISO/IEC 2024
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no
part of this publication may be reproduced or utilized otherwise in any form or by any means,
electronic or mechanical, including photocopying, or posting on the internet or an intranet, without
prior written permission. Permission can be requested from either ISO at the address below or ISO’s
member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Fax: +41 22 749 09 47
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
© ISO/IEC 2024 – All rights reserved
ii
ISO/IEC FDIS 29794-5:2024(en)
Contents
Foreword . vii
Introduction . viii
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 2
4 Symbols and abbreviated terms . 4
5 Conformance . 4
6 Common computations . 7
6.1 Overview . 7
6.2 Conversion of 16 bits per channel images to 8 bits per channel images . 7
6.3 Conversion of high bit-depth images to 8 bit greyscale or 24 bit colour images. 7
6.4 Face detection . 7
6.5 Face landmark estimation . 8
6.6 Landmarked region segmentation . 11
6.7 Face alignment . 11
6.8 Face parsing . 11
6.9 Face occlusion segmentation . 13
6.10 Computing eye centres and inter-eye distance . 13
6.11 Head pose estimation . 14
6.12 Conversion of 8-bits-per-channel colour images to luminance . 15
6.13 Conversion of 8-bits-per-channel colour images to CIELAB space . 15
6.14 Handling of greyscale images . 16
6.15 Luminance histogram . 16
6.16 Entropy . 17
6.17 Expressing binary quantities as continuous values . 17
6.18 Representation and arithmetic of real and integer numbers. . 17
6.19 Normalization of image colour values . 18
7 Quality measures . 18
7.1 General . 18
7.2 Quality score (unified) . 18
7.2.1 Description . 18
7.2.2 Computation of the native quality measure . 19
7.2.3 Mapping the computation result to the target range of the quality component . 19
7.3 Capture-related quality components . 20
7.3.1 General . 20
7.3.2 Background uniformity . 20
7.3.3 Illumination uniformity . 21
7.3.4 Moments of the luminance distribution . 22
7.3.5 Under-exposure prevention . 23
7.3.6 Over-exposure prevention . 24
7.3.7 Dynamic range . 25
7.3.8 Sharpness . 25
7.3.9 No compression artefacts . 26
7.3.10 Natural colour . 27
7.4 Subject-related quality components . 29
7.4.1 General . 29
7.4.2 Single face present . 29
© ISO/IEC 2024 – All rights reserved
iii
ISO/IEC FDIS 29794-5:2024(en)
7.4.3 Eyes open . 29
7.4.4 Mouth closed . 30
7.4.5 Eyes visible . 31
7.4.6 Mouth occlusion prevention . 32
7.4.7 Face occlusion prevention . 32
7.4.8 Inter-eye distance . 33
7.4.9 Head size . 34
7.4.10 Crop of the face image . 34
7.4.11 Head pose . 36
7.4.12 Expression neutrality . 38
7.4.13 No head covering . 39
8 Face image quality block . 39
8.1 Binary encoding . 39
8.2 XML encoding . 39
8.3 Organization identifiers . 40
8.4 Algorithm identifiers . 40
Annex A (normative) Conformance test assertions . 42
A.1 Purpose . 42
A.2 Conformance test set . 42
Annex B (informative) Quantitative goal for face image QAAs . 46
B.1 Introduction . 46
B.2 Quality value as predictor of recognition performance . 48
B.3 Algorithm dependence . 48
Annex C (informative) Applications of quality values . 49
Annex D (Informative) Quality requirements with no quality measure . 51
D.1 Purpose . 51
D.2 Imaging-related quality components . 51
D.2.1 Radial distortion prevention . 51
D.2.1.1 Description . 51
D.2.1.2 Computation of the native quality measure . 51
D.2.1.3 Mapping the computation result to the target range of the quality component . 51
D.2.2 Pixel aspect ratio . 51
D.2.2.1 Description . 51
D.2.2.2 Computation of the native quality measure . 51
D.2.2.3 Mapping the computation result to the target range of the quality component . 51
D.3 Subject-related quality components . 51
D.3.1 Frontal gaze . 51
D.3.1.1 Description . 51
D.3.1.2 Computation of the native quality measure: . 52
D.3.2 Shoulder presentation . 52
D.3.2.1 Description . 52
© ISO/IEC 2024 – All rights reserved
iv
ISO/IEC FDIS 29794-5:2024(en)
D.3.2.2 Computation of the native quality measure . 52
D.3.2.3 Mapping the computation result to the target range of the quality component . 52
D.3.3 Camera to subject distance . 53
D.3.3.1 Description . 53
D.3.3.2 Computation of the native quality measure . 53
D.3.3.3 Mapping the computation result to the target range of the quality component . 53
D.3.4 Motion blur prevention .
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