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GA/T 1723.5-2020: CTID online authentication - Authentication services - Part 5:INterface requirements for face recognition engine
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CTID online authentication - Authentication services - Part 5:INterface requirements for face recognition engine
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GA/T 1723.5-2020
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Basic data | Standard ID | GA/T 1723.5-2020 (GA/T1723.5-2020) | | Description (Translated English) | CTID online authentication - Authentication services - Part 5:INterface requirements for face recognition engine | | Sector / Industry | Public Security (Police) Industry Standard (Recommended) | | Classification of Chinese Standard | A90 | | Classification of International Standard | 35.240.15 | | Word Count Estimation | 14,173 | | Date of Issue | 2020-06-03 | | Date of Implementation | 2020-10-01 | | Issuing agency(ies) | Ministry of Public Security | GA/T 1723.5-2020: CTID online authentication - Authentication services - Part 5:INterface requirements for face recognition engine
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CTID online authentication - Authentication services - Part 5:Interface requirements for face recognition engine
ICS 35:240:15
A90
Public Safety Industry Standards of the People's Republic of China
Resident identity network authentication service
Part 5: Face comparison engine interface requirements
2020-06-03 released
2020-10-01 implementation
Issued by the Ministry of Public Security of the People's Republic of China
Table of contents
Preface Ⅲ
Introduction Ⅳ
1 Scope 1
2 Normative references 1
3 Terms, definitions and abbreviations 1
3:1 Terms and definitions 1
3:2 Abbreviations 1
4 General 2
4:1 Overview 2
4:2 Function 2
5 Interface frame 2
5:1 Overview 2
5:2 Overall Framework 3
5:3 Interface List 3
5:4 Requirements for use 3
6 Interface definition 4
6:1 Heartbeat monitoring 4
6:2 Feature extraction 4
6:3 Feature comparison 5
6:4 Comparison of two images 6
6:5 Algorithm version information 7
7 Engine service configuration content 8
Reference 9
Figure 1 The overall technical framework of the resident identity network authentication system 2
Table 1 Interface list 3
Table 2 Return value code 3
Table 3 Heartbeat monitoring interface definition 4
Table 4 Heartbeat monitoring interface return value 4
Table 5 Feature extraction interface definition 5
Table 6 Feature extraction interface request input parameters and return value 5
Table 7 Feature comparison interface definition 5
Table 8 Input parameters and return values of the feature comparison interface request 6
Table 9 Two image comparison interface definition 6
Table 10 Two image comparison interface request input parameters and return value 6
Table 11 Algorithm version information interface definition 7
Table 12 Algorithm version information interface return value 7
Table 13 Engine service configuration information 8
Foreword
GA/T 1723 "Resident Network Identity Authentication Service" is divided into 5 parts:
---Part 1: Certification classification;
---Part 2: Service interface requirements;
---Part 3: Information acquisition control interface requirements;
---Part 4: Technical requirements for face image acquisition controls;
---Part 5: Face comparison engine interface requirements:
This part is part 5 of GA/T 1723:
This section was drafted in accordance with the rules given in GB/T 1:1-2009:
Please note that certain contents of this document may involve patents: The issuing agency of this document is not responsible for identifying these patents:
This part was proposed and managed by the Technical Committee for the Standardization of Social and Public Security Applications of the Ministry of Public Security:
Drafting organizations of this section: The First Research Institute of the Ministry of Public Security, Beijing Zhongdun Anxin Technology Development Co:, Ltd:, Beijing Zhongdun Security Technology Development Corporation
Company, Beijing Shangtang Technology Development Co:, Ltd:, Beijing Megvii Technology Co:, Ltd:, Chongqing Zhongke Yuncong Technology Co:, Ltd:, Guangzhou Pixel Data
Technology Co:, Ltd:, Zhejiang Ant Small and Micro Financial Service Group Co:, Ltd:, Shenzhen Tencent Computer System Co:, Ltd:, Ministry of Public Security
Quanyu Police Electronic Product Quality Inspection Center, Hangzhou Hikvision Digital Technology Co:, Ltd:, etc:
The main drafters of this section: Tian Qiang, Li Zhiyuan, Xia Jiguang, Xie Yufeng, Lu Meng, Li Jun, Yao Ruoguang, Gu Chen, Wang Xin, Yang Xiaoguang, Liu Jun,
Xu Lu, Du Wei, Chen Setao:
Introduction
Resident identity network authentication is one of the important links in the national implementation of the network credible identity strategy: Due to the virtual nature of the Internet
Point, the traditional identity authentication method can no longer meet the needs of network user applications, and network identity authentication has a variety of authentication methods,
Identity information is difficult to distinguish between true and false and other disadvantages, and it has caused new security issues such as data leakage, identity fraud, and privacy dissemination, and even threatened the country:
Safety: For this reason, it is urgent to carry out research from the perspective of standardization to build a safe, convenient, and unified resident identity network authentication technical framework, so as
The identity and authentication of residents in the network space provide security guarantees, which will improve my country’s network identity management level and realize the modernization of network social governance
For technical support:
In order to solve the problems of the access, application, promotion and popularization of face recognition technology in the resident identity network authentication service, guide technology provision
Businesses, developers and users carry out technical docking to promote the healthy development of the industry’s ecology: This part is specially formulated:
Resident identity network authentication service
Part 5: Face comparison engine interface requirements
1 Scope
This part of GA/T 1723 specifies the interface framework, interface definitions and engine services of the face comparison engine in resident identity network authentication
Configuration content, etc:
This part is applicable to the system design, development and application of the face comparison engine in the resident identity network authentication service system:
2 Normative references
The following documents are indispensable for the application of this document: For dated reference documents, only the dated version applies to this article
Pieces: For undated references, the latest version (including all amendments) applies to this document:
GA/T 893-2010 Application terminology of security biometric identification
GA/T 1721 General Terms for Resident Identity Network Authentication
GA/T 1722 Overall Technical Framework of Resident Identity Network Authentication
RFC2616 Hypertext Transfer Protocol HTTP/1:1
3 Terms, definitions and abbreviations
3:1 Terms and definitions
The following terms and definitions defined in GA/T 893-2010 and GA/T 1721 apply to this document: For ease of use, the following
Some terms and definitions in GA/T 893-2010 are repeatedly listed:
3:1:1
Feature
Data extracted from a biological sample used to characterize the specific attributes of the sample:
3:1:2
Feature extraction
The process of extracting data from a biological sample to characterize the specific properties of the sample:
3:1:3
Similarity
The output result of the comparison represents the similarity of the two biological characteristics participating in the comparison: The value of similarity can also be called similarity score or
Compare scores:
[GA/T 893-2010, definition 3:1:18]
3:2 Abbreviations
The following abbreviations apply to this document:
HTTP: Hypertext Transfer Protocol (HypertextTransferProtocol)
JSON: JavaScript Object Notation (JavaScriptObjectNotation)
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