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GB/T 41786-2022 English PDF

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GB/T 41786-2022: Public security - Biometric recognition - Terminology
Status: Valid

Standard ID	Contents [version]	USD	STEP2	[PDF] delivered in	Standard Title (Description)	Status	PDF
GB/T 41786-2022	English	969	Add to Cart	7 days [Need to translate]	Public security - Biometric recognition - Terminology	Valid	GB/T 41786-2022

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Basic data

Standard ID	GB/T 41786-2022 (GB/T41786-2022)
Description (Translated English)	Public security - Biometric recognition - Terminology
Sector / Industry	National Standard (Recommended)
Classification of Chinese Standard	A91
Classification of International Standard	13.310
Word Count Estimation	46,488
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 41786-2022: Public security - Biometric recognition - Terminology

---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 - Biometric recognition - Terminology ICS 13.310 CCSA91 National Standards of People's Republic of China Public Safety Biometric Terminology Released on 2022-10-12 2023-05-01 Implementation State Administration for Market Regulation Released by the National Standardization Management Committee

Preface III 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 3.1 General terms of biometric identification 1 3.2 Terminology for face recognition 8 3.3 Specific terms for fingerprint recognition 10 3.4 Special terms for palmprint recognition 13 3.5 Terminology for Finger Vein Recognition 16 3.6 Special terms for palm vein recognition 17 3.7 Terminology for iris recognition 17 3.8 Specific terms for voiceprint recognition 20 3.9 Terms specific to handwriting recognition 23 3.10 Terminology for gait recognition 25 3.11 Other biometric terminology 26 3.12 Terminology for multi-biometric identification 27 3.13 Biometric Application Security Terminology 27 Reference 29 index 30

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 by the Ministry of Public Security of the People's Republic of China. This document is under the jurisdiction of the National Security Alarm System Standardization Technical Committee (SAC/TC100). This document was drafted by. Tsinghua University, First Research Institute of the Ministry of Public Security, Institute of Automation, Chinese Academy of Sciences, National University of Defense Technology, Hong Kong Central Wen University (Shenzhen), Institute of Computing Technology, Chinese Academy of Sciences, West Lake University, Guangzhou Pixel Data Technology Co., Ltd., Shenzhen Lizhongxin Information Technology Co., Ltd., Beijing Deyi Yintong Technology Co., Ltd., Shanghai Xinling Technology Co., Ltd. The main drafters of this document. Su Guangda, Wang Shengjin, Chen Jiansheng, Zheng Fang, Hou Hongchuan, Liu Lin, Li Ziqing, Lei Zhen, Sun Zhenan, Xie Jianbin, Zhang Dapeng, Shan Shiguang, Han Hu, Yao Ruoguang, Su Nan, Liu Yang, Yin Desen, Xu Wei. Public Safety Biometric Terminology

1 Scope

This document defines commonly used terms and their definitions in biometric identification. This document applies to biometric identification in the field of public security, and can be used by reference in other fields.

2 Normative references

This document has no normative references.

3 Terms and Definitions

3.1 General terms of biometric identification 3.1.1 Biological sample biometricsample Biological data acquired using collection equipment. Note 1.In this document, "biology" refers only to the human body. Note 2.Biological samples, such as face images, fingerprint images and iris images. Note 3.Abbreviated as sample. 3.1.2 The process of obtaining a biological sample using a collection device. 3.1.3 biometric feature A numerical combination or label obtained from a sample for identification. Note. Abbreviated as feature. 3.1.4 modal modality Some type of biometric. Note. such as face, fingerprint and voiceprint features. 3.1.5 feature extraction featureextraction The process of obtaining biometric data from a sample. 3.1.6 feature comparison featurematching The process of comparing biometric data with biometric data of the same type. Note. referred to as comparison.

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