GB/T 41786-2022 English PDFUS$969.00 ยท In stock
Delivery: <= 7 days. True-PDF full-copy in English will be manually translated and delivered via email. GB/T 41786-2022: Public security - Biometric recognition - Terminology Status: Valid
Basic dataStandard 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 table of contentsPreface 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 30forewordThis 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 Terminology1 ScopeThis 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 referencesThis document has no normative references.3 Terms and Definitions3.1 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. ......Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of GB/T 41786-2022_English be delivered?Answer: Upon your order, we will start to translate GB/T 41786-2022_English as soon as possible, and keep you informed of the progress. The lead time is typically 4 ~ 7 working days. 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