ISO/IEC 17839-2:2015/Amd 1:2021
(Amendment)Information technology — Biometric System-on-Card — Part 2: Physical characteristics — Amendment 1: Additional specifications for fingerprint biometric capture devices
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
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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
ISO/IEC 17839-2:2015/Amd.1:2021(E)
© 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
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
1)
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
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
...
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
ISO/IEC 17839-2:2015/Amd.1:2021(E)
© 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
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
1)
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
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
...
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