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GB/T 42981-2023 English PDF

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US$649.00 · In stock
Delivery: <= 6 days. True-PDF full-copy in English will be manually translated and delivered via email.
GB/T 42981-2023: Information technology - Biometrics - Test methods for face recognition system
Status: Valid

Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 42981-2023	649	Add to Cart	6 days	Information technology - Biometrics - Test methods for face recognition system	Valid

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Basic data

Standard ID: GB/T 42981-2023 (GB/T42981-2023)
Description (Translated English): Information technology - Biometrics - Test methods for face recognition system
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L67
Classification of International Standard: 35.240.15
Word Count Estimation: 34,395
Date of Issue: 2023-09-07
Date of Implementation: 2024-04-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 42981-2023: Information technology - Biometrics - Test methods for face recognition system

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 35.240.15 CCSL67 National Standards of People's Republic of China information technology biometrics Facial recognition system testing method Published on 2023-09-07 2024-04-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration Committee

Preface III 1 Scope 1 2 Normative reference documents 1 3 Terms and Definitions 1 4 Abbreviations 1 5 General requirements 2 5.1 Overview 2 5.2 Test environment 2 5.3 Test Tool 2 5.4 Test database 2 6 Functional test 4 6.1 View collection 4 6.2 View analysis 4 6.3 Data Storage 4 6.4 Face comparison 5 6.5 Face recognition decision-making 6 6.6 Face recognition management 6 6.7 Application open interface 8 7 Performance Test 8 7.1 Technical Test 8 7.2 Scenario test 11 Appendix A (informative) Face recognition test C language interface function 13 A.1 File format 13 A.2 Interface functions 13 A.3 Test process framework 13 A.4 Interface function description 17 Appendix B (Normative) Liveness Detection Test Method 24 B.1 Test data 24 B.2 In vivo detection performance test method 25 B.3 In vivo presentation test method 25 B.4 Test indicators and calculation methods 26 Appendix C (informative) Test result recording reference format 27 Reference 28

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents" Drafting. Please note that some content in this document may be subject to patents. The publisher of this document assumes no responsibility for identifying patents. This document is proposed and coordinated by the National Information Technology Standardization Technical Committee (SAC/TC28). This document was drafted by. Shanghai SenseTime Intelligent Technology Co., Ltd., China Electronics Technology Standardization Institute, Beijing Eyes Technology Co., Ltd. Company, Shanghai Yitu Network Technology Co., Ltd., Yuncong Technology Group Co., Ltd., Shanghai Dot and Face Intelligent Technology Co., Ltd., Lenovo Zhongtian Technology Co., Ltd., Shenzhen Yuntian Lifei Technology Co., Ltd., JD Technology Holdings Co., Ltd., and Fuzhou Data Technology Research Institute have Co., Ltd., Rock Jiahua Technology Group Co., Ltd., Shanghai Institute of Measurement and Testing Technology, the Third Research Institute of the Ministry of Public Security, Tongfang Weishi Technology Technology Co., Ltd., Beijing University of Civil Engineering and Architecture, Beijing Zunguan Technology Co., Ltd., Entropy Technology Co., Ltd., National Industrial Information Security Development Exhibition Research Center, Hangzhou Hikvision Digital Technology Co., Ltd., Guangdong Zhongke Zhenheng Information Technology Co., Ltd., Guangzhou Radio and Television Express Gold Rong Electronics Co., Ltd., Xiamen Meiya Pico Information Co., Ltd., iFlytek Co., Ltd., Shenzhen Tencent Computer System Co., Ltd., New World Digital Technology Co., Ltd., Beijing Baidu Network Technology Co., Ltd., Xiamen Entropy Technology Co., Ltd., Beijing Jingmei Technology Co., Ltd., Qingdao Hisense Network Technology Co., Ltd., Huawei Technologies Co., Ltd., Ping An Technology (Shenzhen) Co., Ltd. Company, China Automotive Engineering Research Institute Co., Ltd., Beijing Xiaomi Mobile Software Co., Ltd., CCB Financial Technology Co., Ltd., Shengdian Century Technology Co., Ltd., Shenzhen Jieshun Technology Industrial Co., Ltd., Xiamen Ruiwei Information Technology Co., Ltd., Hangzhou Yufanzhi Energy Technology Co., Ltd., Beijing Pensi Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Beijing University of Posts and Telecommunications, Ant Technology Group Co., Ltd. Co., Ltd., Shandong Haibo Technology Information System Co., Ltd., Yiwu Haoye Network Technology Co., Ltd., Guangdong Haodaitai Technology Group Co., Ltd., Guangdong Bida Security System Co., Ltd., Fujian Haijing Technology Development Co., Ltd., Beijing Jichuang North Technology Co., Ltd. Company, Beijing Shuguang Yitong Technology Co., Ltd., Shanghai Electric Power University, Xi'an Kaihong Electronic Technology Co., Ltd., Guangzhou Aixiang Technology Co., Ltd. Company, Beijing Qingwei Intelligent Technology Co., Ltd., State Grid Blockchain Technology (Beijing) Co., Ltd., Zhongke Vision (Beijing) Technology Co., Ltd., Guangzhou Mailun Information Technology Co., Ltd., Shenzhen Huili Technology Co., Ltd., and Shanghai Zhenliang Intelligent Technology Co., Ltd. The main drafters of this document. Jiang Hui, Zhong Chen, Song Fangfang, Wang Wenfeng, Song Jiwei, Liang Ding, Yang Chunlin, Zhao Chunhao, Wen Hao, Li Jun, Shen Wenzhong, Ning Jing, Su Liwei, Liu Qianying, Wang Zhifang, Wang Qili, Fang Bin, Li Wei, Sun Rongrong, Wang Wu, Cui Jin, Tian Qichuan, Che Lu, Lin Xiaoqing, Liu Yongdong, Zhu Qianqian, Wang Chunmao, Yang Jingfeng, Zhang Lieji, Zhong Min, Wu Ziyang, Mo Bincheng, Sun Shiyou, Qiu Zixiang, Zhang Gang, Chen Shukai, Mei Jingqing, Lu Fanbing, Meng Fanhui, Dai Lei, Yang Nuo, Zhu Yajun, Liao Minfei, Hu Wenmao, Zhao Yong, Jia Baozhi, Zheng Dong, Zhao Lei, Hao Jingsong, Cheng Miao, He Zhaofeng, Lin Guanchen, Han Dongming, Ji Shunjie, Zhou Liang, Yang Shuntian, Lin Feng, Zhang Jinfang, Liu Xuhua, Shao Jie, Xu Jianmin, Yang Sanguo, Wang Bo, Zhao Lihua, Wang Jinqiao, Wang Jin, Qian Chen, Li Hongming, He Bin, Huang Wangjue, Zhou Rong. information technology biometrics Facial recognition system testing method

1 Scope

This document stipulates the general requirements for face recognition system testing, and describes the functional testing methods and performance testing methods of face recognition systems. and liveness detection testing methods. This document is applicable to third-party inspection and testing institutions that carry out face recognition system testing, development and application of face recognition systems. Carry out testing activities with reference to this document.

2 Normative reference documents

The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to this document. GB/T 35273 Information Security Technology Personal Information Security Specifications GB/T 40660 Basic requirements for biometric information protection in information security technology GB/T 41772-2022 Technical requirements for information technology biometric face recognition systems

3 Terms and definitions

The terms and definitions defined in GB/T 41772-2022 and the following apply to this document. 3.1 technology testtechnologytest Use pre-collected test data to conduct functional or performance testing of facial recognition systems or components. 3.2 scenario test scenario test Use real test subjects to pass the face recognition system on-site to conduct functional or performance testing.

4 Abbreviations

The following abbreviations apply to this document. FRR False Rejection Rate (FalseRejectionRate) ......

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Tips & Frequently Asked Questions:

Question 1: How long will the true-PDF of GB/T 42981-2023_English be delivered?

Answer: Upon your order, we will start to translate GB/T 42981-2023_English as soon as possible, and keep you informed of the progress. The lead time is typically 4 ~ 6 working days. The lengthier the document the longer the lead time.

Question 2: Can I share the purchased PDF of GB/T 42981-2023_English with my colleagues?

Answer: Yes. The purchased PDF of GB/T 42981-2023_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet.

Question 3: Does the price include tax/VAT?

Answer: Yes. Our tax invoice, downloaded/delivered in 9 seconds, includes all tax/VAT and complies with 100+ countries' tax regulations (tax exempted in 100+ countries) -- See Avoidance of Double Taxation Agreements (DTAs): List of DTAs signed between Singapore and 100+ countries

Question 4: Do you accept my currency other than USD?

Answer: Yes. If you need your currency to be printed on the invoice, please write an email to Sales@ChineseStandard.net. In 2 working-hours, we will create a special link for you to pay in any currencies. Otherwise, follow the normal steps: Add to Cart -- Checkout -- Select your currency to pay.