GB/T 41987-2022 English PDF

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GB/T 41987-2022: Public security - Face recognition applications - Test methods for presentation attack detection with fake face
Status: Valid

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GB/T 41987-2022	299	Add to Cart	3 days	Public security - Face recognition applications - Test methods for presentation attack detection with fake face	Valid

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Basic data

Standard ID: GB/T 41987-2022 (GB/T41987-2022)
Description (Translated English): Public security - Face recognition applications - Test methods for presentation attack detection with fake face
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: A91
Classification of International Standard: 13.310
Word Count Estimation: 14,171
Date of Issue: 2022-10-12
Date of Implementation: 2023-05-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 41987-2022: Public security - Face recognition applications - Test methods for presentation attack detection with fake face

---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.
Public security - Face recognition applications - Test methods for presentation attack detection with fake face ICS 13.310 CCSA91 National Standards of People's Republic of China Public Safety Face Recognition Application Anti-prosthetic rendering attack test method Released on 2022-10-12 2023-05-01 implementation State Administration for Market Regulation Released by the National Standardization Management Committee

table of contents

Preface I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Test Method 1 Appendix A (Normative) Basic Requirements for Prosthetic Face Test Samples 7 Reference 10

foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules for Standardization Documents" drafting. Please note that some contents of this document may refer to patents. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed and managed by the National Security Alarm System Standardization Technical Committee (SAC/TC100). This document was drafted by. Institute of Automation, Chinese Academy of Sciences, West Lake University, First Research Institute of Ministry of Public Security, Guangzhou Pixel Data Technology Unit Co., Ltd., Beijing Eyes Intelligent Technology Co., Ltd., Alipay (China) Network Technology Co., Ltd., National University of Defense Technology, Third Ministry of Public Security Research Institute, Beijing Zhongdun Anxin Technology Development Co., Ltd., Beijing Haixin Kejin High-Tech Co., Ltd., Tsinghua University, Beijing Pengsi Technology Ltd. The main drafters of this document. Li Ziqing, Lei Zhen, Hou Hongchuan, Yao Ruoguang, Yang Chunlin, Lin Guanchen, Xie Jianbin, Lu Yuhua, Rong Ling, Tian Qiang, Wang Xianliang, Su Nan, Ma Yuan. Public Safety Face Recognition Application Anti-prosthetic rendering attack test method

1 Scope

This document describes a test methodology for protection against prosthetic presentation attacks in facial recognition applications for public safety. This document is applicable to public safety face recognition system anti-face complete photos, face cut-out photos, face removal background photos, face electronic Tests of attack methods such as photos, face videos, simulated face masks, and simulated face head models.

2 Normative references

The contents of the following documents constitute the essential provisions of this document through normative references in the text. Among them, dated references For documents, only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to this document. GB/T 41786-2022 Terminology of biometric identification for public security

3 Terms and Definitions

The following terms and definitions defined in GB/T 41786-2022 apply to this document. 3.1 Prosthetic face fakeface Facial imitation. Note. Including face photos, face videos, simulated face masks, simulated face head models, etc. 3.2 live face liveface Real human faces that come to life.

4 Test methods

4.1 Overview The lighting environment of the face anti-prosthesis attack test is divided into three scenarios. indoor, semi-outdoor and outdoor. The test samples include full face photos, human Face cutout photos, face removal background photos, face electronic photos, face videos, simulated face masks and simulated face head models. 4.2 Environmental conditions The ambient light requirements during the test are as follows. a) Indoor environment simulation. use D50 light source, uniform illumination, light intensity not less than 300lx, not greater than 3000lx. b) Simulation of semi-outdoor environment (side light, backlight, front light). use halogen lamps, measure with a full-spectrum ordinary illuminance meter, adjust the light source and measure The distance of the test object, so that the light intensity of the area where the test object is located is not less than 3000lx and less than 10000lx. different light rings The positional relationship among the light source, test object and camera in the environment is shown in Figure 1.Under side-lit conditions, the camera, test object and The position of the light source is 90°; under backlight and forward light conditions, the position of the camera, test object and light source are in a straight line. ......

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