GB/T 37036.3-2019 English PDF (GBT37036.3-2019)

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GB/T 37036.3-2019: Information technology -- Biometrics used with mobile devices -- Part 3: Face
GB/T 37036.3-2019
NATIONAL STANDARD OF THE
PEOPLE’S REPUBLIC OF CHINA
ICS 35.240.15
L 71
Information Technology - Biometrics Used with Mobile
Devices - Part 3: Face
ISSUED ON: OCTOBER 18, 2019
IMPLEMENTED ON: MAY 1, 2020
Issued by: State Administration for Market Regulation;
Standardization Administration of the People’s Republic of
China.
Table of Contents
Foreword ... 3 
1 Scope ... 5 
2 Normative References ... 5 
3 Terms and Definitions ... 5 
4 Abbreviations ... 7 
5 Technology Architecture ... 7 
6 Operational Process ... 9 
7 Functional Requirements ... 11 
8 Performance Requirements ... 16 
9 Security Requirements ... 16 
Appendix A (informative) Typical Application Architectures of Face Recognition
Used with Mobile Devices ... 20 
Appendix B (informative) Mobile Device Face Recognition Presentation Attack
Detection Methods ... 26 
Information Technology - Biometrics Used with Mobile
Devices - Part 3: Face
1 Scope
This Part of GB/T 37036 provides the technology architecture of the face recognition
system used with mobile devices, and specifies the operational process, functional
requirements, performance requirements and security requirements of face
recognition used with mobile devices.
This Part is applicable to the design, production, integration and application of the face
recognition system used with mobile devices.
2 Normative References
The following documents are indispensable to the application of this document. In
terms of references with a specified date, only versions with a specified date are
applicable to this document. In terms of references without a specified date, the latest
version (including all the modifications) is applicable to this document.
GB/T 26238-2010 Information Technology - Terminology for Biometrics
GB/T 37036.1-2018 Information Technology - Biometrics Used with Mobile Devices -
Part 1: General Requirement
3 Terms and Definitions
What is defined in GB/T 26238-2010, and the following terms and definitions are
applicable to this document.
3.1 Face Recognition
Face recognition refers to the process of individual recognition based on individual’s
face characteristic.
3.2 Face Characteristic
Face characteristic refers to distinguishable and repeatable characteristic information
that can be extracted from individual’s face information, so as to achieve the purpose
of automatic individual recognition.
NOTE: face characteristics may include: anatomical characteristics of face, facial
characteristics, special marking characteristics and other characteristics of human
Attack presentation false acceptance rate refers to the proportion that attacks
presented by means of attack presentation are mistakenly accepted as the actual face
presentation in specific scenarios.
3.12 Bona Fide Presentation False Rejection Rate
Bona fide presentation false rejection rate refers to the proportion that actual face
presentation is mistakenly determined as attack presentation and rejected in specific
scenarios.
3.13 Attack Presentation Non-response Rate
Attack presentation non-response rate refers to the proportion of non-responses in the
face recognition system during the process of presenting attacks through the mode of
attack presentation.
3.14 Bona Fide Presentation Non-response Rate
Bona fide presentation non-response rate refers to the proportion of non-responses in
the face recognition system during the presentation of actual face.
4 Abbreviations
The following abbreviations are applicable to this document.
APFAR: Attack Presentation False Acceptance Rate
APNRR: Attack Presentation Non-response Rate
BPFRR: Bona Fide Presentation False Rejection Rate
BPNRR: Bona Fide Presentation Non-response Rate
FAR: False Acceptance Rate
FRR: False Rejection Rate
5 Technology Architecture
The face recognition system used with mobile devices is mainly constituted of several
functional modules on the mobile device side and the remote server. It mainly includes
face characteristic capture module, face characteristic storage module and face
characteristic comparison module, etc. Specifically speaking, the face characteristic
capture module includes sub-functional modules, such as: face sample capture, quality
judgment, presentation attack detection and face feature extraction, etc. The face
recognition system captures user’s face samples by accessing the face capture device
devices includes: enrollment process, recognition process and log-out process. See
the requirements below:
a) The enrollment process shall include, but is not limited to the following steps:
1) The mobile application initiates the enrollment process in a mobile device;
2) The face capture device in the mobile device captures the user’s face
samples;
3) Conduct quality judgment, presentation attack detection and user’s face
feature extraction;
4) Store the user’s face feature in the face characteristic storage module as
the user’s face template; associate it with the user’s identity;
5) After completing it, end the enrollment process.
b) The recognition process shall include, but is not limited to the following steps:
1) The mobile application initiates the recognition process in the mobile
device;
2) The face capture device in the mobile device captures the user’s face
samples;
3) Conduct quality judgment, presentation attack detection and user’s face
feature extraction;
4) Regard the extracted user’s face feature as the face probe; compare it
with one or more user’s face templates stored in the face characteristic
storage module;
5) In accordance with the comparison result, make recognition decisions
and output the recognition result; end the recognition process.
NOTE: the face recognition system used with mobile devices may use face probe,
which passes the recognition, to update the user’s face template stored
in the face characteristic storage module.
c) The log-out process shall include, but is not limited to the following steps:
1) The mobile application initiates the log-out process in the mobile device;
2) Delate all face references associated with the user to be logged out in the
face characteristic storage module; delete the identity of the user to be
logged out in face recognition;
Face recognition used with mobile devices shall have the function of log management,
which includes, but is not limited to:
a) Events that generate log records, which include, but are not limited to:
1) Success or failure event during the enrollment process;
2) Success or failure event during the recognition process;
3) Success or failure event during the log-out process;
4) Face template update, etc.
b) For each event, log records include the event occurrence time, the type of
event, the user, the event execution result or cause of failure, and the validity
time, etc.
7.2 Face Characteristic Capture Module
7.2.1 Basic functions
The face characteristic capture module provides the function of face characteristic data
capture and transmission, which includes, but is not limited to:
a) It shall comply with the requirements of 6.2.1 in GB/T 37036.1-2018;
b) Technical means should be adopted to determine the environmental lighting
conditions where the user is located during the capture process. When the
environmental lighting conditions are inappropriate (for example, ambient light
is too bright or too dark), the user should be remind...