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US$249.00 · In stock Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email. GA/T 1212-2014: Face recognition applications in security systems. Testing methodologies for anti-spoofing
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Face recognition applications in security systems. Testing methodologies for anti-spoofing
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GA/T 1212-2014
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Basic data | Standard ID | GA/T 1212-2014 (GA/T1212-2014) | | Description (Translated English) | Face recognition applications in security systems. Testing methodologies for anti-spoofing | | Sector / Industry | Public Security (Police) Industry Standard (Recommended) | | Classification of Chinese Standard | A91 | | Classification of International Standard | 13.310 | | Word Count Estimation | 7,781 | | Quoted Standard | GA/T 893 | | Regulation (derived from) | Notice on Publication of Public Safety Industry Standard (Year of 2014); Industry Standard Record Announcement No. 4 of 2015 (No. 184) | | Issuing agency(ies) | Ministry of Public Security | | Summary | This standard specifies the test method of anti-prosthesis attack in security face recognition application. This standard applies to security face recognition system anti-human face photos, face video and simulation of human face mask attack test. |
GA/T 1212-2014: Face recognition applications in security systems. Testing methodologies for anti-spoofing ---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.
Face recognition applications in security systems.Testing methodologies for anti-spoofing
ICS 13.310
A91
People's Republic of China Public Security Industry Standards
Security Face Recognition
Anti prosthesis attack test method
Issued on. 2014-12-22
2015-01-01 implementation
People's Republic of China Ministry of Public Security
Foreword
This standard was drafted in accordance with GB/T 1.1-2009 given rules.
Please note that some of the content of this document may involve patents. Release mechanism of the present document does not assume responsibility for the identification of these patents.
The Standard Technical Committee biometric identification applications Technical Committee (SAC/by the National Security Alarm System Standardization
TC100/SC2) and focal points.
This standard was drafted. Institute of Automation, Jiangsu Things Research and Development Center, University of Electronic Science and National Defense
Engineering, Guangzhou pixel data Technological Development Co., Ltd., the Ministry of Public Security and Police Electronic Products Quality Inspection Center, Ministry of Public Security Protection
Fan Product Quality Supervision and Testing Center, Ministry of Public Security First Research Institute of Tsinghua University in Beijing Keao Sen Technology Co., Ltd., Beijing Branch Haixin
Gold high-tech Co., Ltd.
The main drafters of this standard. Li Ziqing, Lei Chen, YI Dong, Xie Jianbin, Yaoruo Guang, Liu Lin, Rong Ling, Liu Junping, China Everbright Su, Wang Rui, Yang Chunyu.
Security Face Recognition
Anti prosthesis attack test method
1 Scope
This standard specifies the security face recognition applications prosthesis attack prevention test methods.
This standard applies to security face recognition system defenses photos, videos and real people face face mask attack tests.
2 Normative references
The following documents for the application of this document is essential. For dated references, only the dated version suitable for use herein
Member. For undated references, the latest edition (including any amendments) applies to this document.
GA/T 893 biometric security application terminology
3 Terms and Definitions
GA/T 893 defined in the following terms and definitions apply to this document.
3.1
Prosthetic face fakeface
Posing as the identity of the real face of counterfeit goods.
NOTE. counterfeit goods such as face photographs, video, and real people face face mask.
3.2
Living human face liveface
There are real life people face.
Test Method 4
4.1 Overview
The standard for facial photos, videos and real people face face mask face Three Types of attack, to develop face recognition system anti prosthesis attack
Test Method for Performance.
4.2 Environmental conditions
Video production and testing process, using D50 light source, ambient light is not less than 300lx, not more than 3000lx.
4.3 prosthetic face test sample
Prosthetic face samples for testing was made as follows.
a) Face Photos
With color photo 25.4cm × 30.48cm full-size offset printing paper, print resolution of 300dpi. Borderless photos, people
Face image should be clear, uniform illumination without shadows. Digital photo sizes according to FIG. 1, Fig. L3 and l4 size 1 can not
When meet the requirements, give priority to ensuring l4 not less than 1656 pixels.
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