Additional specifications for fingerprint biometric capture devices

Spécifications supplémentaires pour les capteurs d’empreintes digitales

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Status
Published
Publication Date
10-May-2021
Current Stage
5060 - Close of voting Proof returned by Secretariat
Start Date
01-Apr-2021
Completion Date
31-Mar-2021
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ISO/IEC 17839-2:2015/Amd 1:2021 - Additional specifications for fingerprint biometric capture devices
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INTERNATIONAL ISO/IEC
STANDARD 17839-2
First edition
2015-11-01
AMENDMENT 1
2021-05
Information technology — Biometric
System-on-Card —
Part 2:
Physical characteristics
AMENDMENT 1: Additional
specifications for fingerprint biometric
capture devices
Technologies de l'information — Système biométrique sur carte —
Partie 2: Caractéristiques physiques
AMENDEMENT 1: Spécifications supplémentaires pour les capteurs
d’empreintes digitales
Reference number
ISO/IEC 17839-2:2015/Amd.1:2021(E)
ISO/IEC 2021
---------------------- Page: 1 ----------------------
ISO/IEC 17839-2:2015/Amd.1:2021(E)
COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2021

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
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii © ISO/IEC 2021 – All rights reserved
---------------------- Page: 2 ----------------------
ISO/IEC 17839-2:2015/Amd.1:2021(E)
Information technology — Biometric System-on-Card —
Part 2:
Physical characteristics
AMENDMENT 1: Additional specifications for fingerprint
biometric capture devices
Clause 2
Add the following sentence at the end of the clause:

A Biometric System-on-Card using an area fingerprint biometric capture device claiming

compliance to this document, shall express the class defined in Table 1 in the compliance statement,

e.g. ISO/IEC 17839-2 Class C.
Clause 4
Replace the text with the following:

For the purposes of this document, the terms and definitions given in ISO/IEC 18328-2:2015,

Annex A, ISO/IEC 17839-1, ISO/IEC 7810, ISO/IEC 2382-37 and the following apply.

ISO and IEC maintain terminological databases for use in standardization at the following

addresses:
— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
Add new terminological entries as follows:
4.1
minutiae-based comparison algorithm

fingerprint biometric features comparison algorithm, which relies on evaluating fingerprint minutiae

data, e.g. in the format defined in ISO/IEC 19794-2 or ISO/IEC 39794-2
4.2
hybrid comparison algorithm

fingerprint biometric comparison algorithm, which relies on evaluating fingerprint minutiae data (e.g.

in the format defined in ISO/IEC 19794-2 or ISO/IEC 39794-2) and extended feature data, such as, for

example, ridge count data, curvature, delta and core singular points or any other proprietary vendor-

specific data

1) Under preparation. (Stage at the time of publication: ISO/IEC CD 39794-2:2021.)

© ISO/IEC 2021 – All rights reserved 1
---------------------- Page: 3 ----------------------
ISO/IEC 17839-2:2015/Amd.1:2021(E)
4.3
pattern comparison algorithm
pattern correlation algorithm

fingerprint biometric sample and/or biometric features comparison algorithm, which focuses on

biometric sample image level correlation, typically trying to find a small fraction of a probe fingerprint

image in a larger reference image or in a plurality of reference images obtained during multi-touch

enrolment (4.6) process

Note 1 to entry: The data structures used in a pattern matcher are usually proprietary. A pattern comparison

algorithm can evaluate lower level 3 fingerprint features a.k.a. “micro-features” such as, for example, sweat

pores, incipient ridges or ridge shape.
4.4
image stitching algorithm

algorithm assembling multiple captured biometric samples of the fingerprint into a larger reference

biometric “super-sample” image (as if it was captured using large scan area sensor) using pattern

correlation algorithm (4.3), which can be subject to intellectual property rights

4.5
template stitching algorithm

algorithm assembling biometric feature reference templates (e.g. ISO/IEC 19794-2 or ISO/IEC 39794-2

minutiae data) extracted from multiple captured biometric samples of the fingerprint into a larger

reference biometric “super-template” (as if it was extracted from biometric sample captured using

large scan area sensor) using minutiae comparison algorithm (4.1) or hybrid comparison algorithm (4.2)

4.6
multi-touch enrolment

process of acquiring multiple captures biometric samples during biometric reference data enrolment

phase

Note 1 to entry: Multiple reference data biometric samples (images) or reference templates can be stored, or

combined into one larger reference data “super-sample” or “super-template” using image stitching algorithm (4.4)

or template stitching algorithm (4.5), respectively.

Note 2 to entry: Multi-touch enrolment is common in many smartphones with a small fingerprint sensor.

4.7
enrolment update

process of merging the current biometric probe’s biometric sample data or biometric feature data into

biometric reference (e.g. enrolled using multi-touch enrolment (4.6))

Note 1 to entry: In a BSoC context, enrolment update can happen after card issuance to update biometric

reference data that can be stored in a secure element. Enrolment update helps, when using features that are not

time
...

FINAL
ISO/IEC
AMENDMENT
DRAFT
17839-2:2015
FDAM 1
ISO/IEC JTC 1/SC 17
Information technology — Biometric
Secretariat: BSI
System-on-Card —
Voting begins on:
2021-02-03
Part 2:
Voting terminates on:
Physical characteristics
2021-03-31
AMENDMENT 1: Additional
specifications for fingerprint biometric
capture devices
Technologies de l'information — Système biométrique sur carte —
Partie 2: Caractéristiques physiques
AMENDEMENT 1: Spécifications supplémentaires pour les capteurs
d’empreintes digitales
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.
IN ADDITION TO THEIR EVALUATION AS
Reference number
BEING ACCEPTABLE FOR INDUSTRIAL, TECHNO-
ISO/IEC 17839-2:2015/FDAM 1:2021(E)
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. ISO/IEC 2021
---------------------- Page: 1 ----------------------
ISO/IEC 17839-2:2015/FDAM 1:2021(E)
COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2021

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
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii © ISO/IEC 2021 – All rights reserved
---------------------- Page: 2 ----------------------
ISO/IEC 17839-2:2015/FDAM 1:2021(E)
Information technology — Biometric System-on-Card —
Part 2:
Physical characteristics
AMENDMENT 1: Additional specifications for fingerprint
biometric capture devices
Clause 2
Add the following sentence at the end of the clause:

A Biometric System-on-Card using an area fingerprint biometric capture device claiming

compliance to this document, shall express the class defined in Table 1 in the compliance statement,

e.g. ISO/IEC 17839-2 Class C.
Clause 4
Replace the text with the following:

For the purposes of this document, the terms and definitions given in ISO/IEC 18328-2:2015,

Annex A, ISO/IEC 17839-1, ISO/IEC 7810, ISO/IEC 2382-37 and the following apply.

ISO and IEC maintain terminological databases for use in standardization at the following

addresses:
— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
Add new terminological entries as follows:
4.1
minutiae-based comparison algorithm

fingerprint biometric features comparison algorithm, which relies on evaluating fingerprint minutiae

data, e.g. in the format defined in ISO/IEC 19794-2 or ISO/IEC 39794-2
4.2
hybrid comparison algorithm

fingerprint biometric comparison algorithm, which relies on evaluating fingerprint minutiae data (e.g.

in the format defined in ISO/IEC 19794-2 or ISO/IEC 39794-2) and extended feature data, such as, for

example, ridge count data, curvature, delta and core singular points or any other proprietary vendor-

specific data

1) Under preparation. (Stage at the time of publication: ISO/IEC CD 39794-2:2020.)

© ISO/IEC 2021 – All rights reserved 1
---------------------- Page: 3 ----------------------
ISO/IEC 17839-2:2015/FDAM 1:2021(E)
4.3
pattern comparison algorithm
pattern correlation algorithm

fingerprint biometric sample and/or biometric features comparison algorithm, which focuses on

biometric sample image level correlation, typically trying to find a small fraction of a probe fingerprint

image in a larger reference image or in a plurality of reference images obtained during multi-touch

enrolment (4.6) process

Note 1 to entry: The data structures used in a pattern matcher are usually proprietary. A pattern comparison

algorithm can evaluate lower level 3 fingerprint features a.k.a. “micro-features” such as, for example, sweat

pores, incipient ridges or ridge shape.
4.4
image stitching algorithm

algorithm assembling multiple captured biometric samples of the fingerprint into a larger reference

biometric “super-sample” image (as if it was captured using large scan area sensor) using pattern

correlation algorithm (4.3), which can be subject to intellectual property rights

4.5
template stitching algorithm

algorithm assembling biometric feature reference templates (e.g. ISO/IEC 19794-2 or ISO/IEC 37979-2

minutiae data) extracted from multiple captured biometric samples of the fingerprint into a larger

reference biometric “super-template” (as if it was extracted from biometric sample captured using

large scan area sensor) using minutiae comparison algorithm (4.1) or hybrid comparison algorithm (4.2)

4.6
multi-touch enrolment

process of acquiring multiple captures biometric samples during biometric reference data

enrolment phase

Note 1 to entry: Multiple reference data biometric samples (images) or reference templates can be stored, or

combined into one larger reference data “super-sample” or “super-template” using image stitching algorithm (4.4)

or template stitching algorithm (4.5), respectively.

Note 2 to entry: Multi-touch enrolment is common in many smartphones with a small fingerprint sensor.

4.7
enrolment update

process of merging the current biometric probe’s biometric sample data or biometric feature data into

biometric referenc
...

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