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

General Information

Status
Published
Publication Date
10-May-2021
Current Stage
9599 - Withdrawal of International Standard
Start Date
12-Aug-2024
Completion Date
30-Oct-2025

Relations

Effective Date
06-Mar-2023
Effective Date
13-Oct-2020
Effective Date
06-Jun-2022

Overview

ISO/IEC 17839-2:2015/Amd 1:2021 is a key international standard published by ISO/IEC focusing on Biometric System-on-Card (BSoC) technology. This amendment to Part 2: Physical Characteristics introduces additional specifications for fingerprint biometric capture devices. It sets out the physical requirements and classification of sensors used in biometric smart cards, emphasizing fingerprint capture technologies essential for security, identity verification, and personal authentication.

The standard aims to harmonize the design, functionality, and performance of fingerprint sensors embedded in cards, ensuring interoperability, reliability, and compliance across industries and applications.

Key Topics

  • Sensor Classification: Defines classes (A, B, C, D) for area fingerprint sensors based on capture area and resolution, reflecting practical use-cases from consumer electronics (Class B) to government-grade applications (Class D).

    • Class A: Exploratory, minimal restrictions
    • Class B: Minimum 64 mm² area, no resolution restriction
    • Class C: Minimum 169 mm² area, ≥320 ppi resolution
    • Class D: Minimum 210 mm² area, ≥500 ppi resolution (aligned with ANSI/NIST FAP 10 profile)
  • Fingerprint Sensor Types: Distinguishes between:

    • Area scanners – capturing fingerprint images via direct finger touch
    • Swipe scanners – requiring finger movement over the sensor surface, with minimum width requirements
  • Algorithm Terminology: Provides definitions for fingerprint comparison algorithms:

    • Minutiae-based comparison: Focused on key fingerprint features
    • Hybrid comparison: Combines minutiae and extended features like ridge count and singular points
    • Pattern comparison: Uses image-level correlation and micro-features
    • Image stitching and template stitching algorithms to produce composite biometric references
    • Multi-touch enrolment processes that improve accuracy by merging multiple fingerprint captures
    • Enrolment update mechanisms to maintain data relevancy over device lifespan
  • Performance Impact: Emphasizes the influence of sensor size and resolution on biometric system accuracy and operational reliability.

  • Implementation Guidance: Includes rationale clarifying sensor class usage scenarios, particularly explaining the trade-offs in sensor size for consumer versus governmental security applications.

Applications

ISO/IEC 17839-2:2015/Amd 1:2021 provides practical value for a broad range of biometric system implementations-particularly those embedding fingerprint capture directly on smart cards or secure elements. Typical applications include:

  • National Identity and Border Control: High-security Class D sensors supporting precise identification needs for government-issued IDs, passports, and visas.
  • Access Control and Authentication: Corporate and enterprise solutions benefiting from standardized sensor classifications to ensure reliable fingerprint capture within cards.
  • Mobile and Consumer Devices: Use of Class B/C sensors for embedded fingerprint authentication in payment cards, mobile SIMs, and other smart card-based credentials.
  • Healthcare and Law Enforcement: Applications requiring robust biometric verification capabilities with multi-touch enrolment enhancing matching reliability.
  • E-Governance and Social Services: Enabling secure interactive identity solutions within cards adhering to internationally recognized standards.

Related Standards

ISO/IEC 17839-2:2015/Amd 1:2021 aligns with and references several other important biometrics and identification standards to promote interoperability and comprehensive biometric data exchange:

  • ISO/IEC 17839-1: Core requirements for Biometric System-on-Card
  • ISO/IEC 18328-2: Physical characteristics and testing of ICC-managed card devices
  • ISO/IEC 19794-2: Finger minutiae data interchange format
  • ISO/IEC 39794-2: Extended biometric minutiae data (under development)
  • ISO/IEC 7810: Identification cards physical characteristics
  • ANSI/NIST-ITL 1-2011 Update 2015: U.S. standards for fingerprint acquisition profiles (FAP 10)
  • ISO/IEC 2382-37: Biometrics vocabulary and terminology standards

By adhering to ISO/IEC 17839-2:2015/Amd 1:2021, organizations can ensure their biometric system-on-card implementations meet internationally accepted physical and functional criteria, facilitating secure, reliable, and scalable fingerprint biometric solutions.


Keywords: Biometric System-on-Card, fingerprint biometric capture device, fingerprint sensor classification, ISO/IEC 17839-2, biometric capture standards, area fingerprint sensor, swipe fingerprint sensor, fingerprint algorithm, biometric enrolment, secure smart card biometrics.

Standard

ISO/IEC 17839-2:2015/Amd 1:2021 - Information technology — Biometric System-on-Card — Part 2: Physical characteristics — Amendment 1: Additional specifications for fingerprint biometric capture devices Released:5/11/2021

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Frequently Asked Questions

ISO/IEC 17839-2:2015/Amd 1:2021 is a standard published by the International Organization for Standardization (ISO). Its full title is "Information technology - Biometric System-on-Card - Part 2: Physical characteristics - Amendment 1: Additional specifications for fingerprint biometric capture devices". This standard covers: 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

ISO/IEC 17839-2:2015/Amd 1:2021 is classified under the following ICS (International Classification for Standards) categories: 35.240.15 - Identification cards. Chip cards. Biometrics. The ICS classification helps identify the subject area and facilitates finding related standards.

ISO/IEC 17839-2:2015/Amd 1:2021 has the following relationships with other standards: It is inter standard links to ISO 14155, ISO/IEC 17839-2:2015, ISO/IEC 17839-2:2024. Understanding these relationships helps ensure you are using the most current and applicable version of the standard.

ISO/IEC 17839-2:2015/Amd 1:2021 is available in PDF format for immediate download after purchase. The document can be added to your cart and obtained through the secure checkout process. Digital delivery ensures instant access to the complete standard document.

Standards Content (Sample)


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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