GB/T 35676-2017 English PDF

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GB/T 35676-2017: Public security -- Finger vein recognition application -- Testing and evaluation methods for algorithm performance
Status: Valid

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Basic data

Standard ID: GB/T 35676-2017 (GB/T35676-2017)
Description (Translated English): Public security -- Finger vein recognition application -- Testing and evaluation methods for algorithm performance
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: A91
Classification of International Standard: 13.310
Word Count Estimation: 26,233
Date of Issue: 2017-12-29
Date of Implementation: 2018-07-01
Issuing agency(ies): General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China

GB/T 35676-2017: Public security -- Finger vein recognition application -- Testing and evaluation methods for algorithm performance

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Public security - Finger vein recognition application - Testing and evaluation methods for algorithm performance ICS 13.310 A91 National Standards of People's Republic of China Public safety finger vein identification applications Algorithm identification performance evaluation method 2017-12-29 Posted 2018-07-01 implementation General Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China China National Standardization Administration released Directory Foreword Ⅲ 1 Scope 1 2 Normative references 1 3 Terms and Definitions, Abbreviations 1 3.1 Terms and definitions 1 3.2 Abbreviations 2 4 test library building database guidelines 2 5 test method 2 5.1 Interface functions and interface protocol requirements 2 5.2 identify the performance test content 2 5.3 test process 2 6 Evaluation Method 6 Appendix A (Normative) Non-embedded algorithm recognition performance testing interface function requirements 7 Appendix B (Normative) Embedded algorithm identification performance testing methods and interface protocol requirements 10 Appendix C (Normative) refers to the vein characteristic data test file structure 19 References 21

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of this document may be patentable. The issuing agencies of this document do not bear the responsibility of identifying these patents. This standard is proposed by the Ministry of Public Security of the People's Republic of China. This standard by the National Security Alarm System Standardization Technical Committee (SAC/TC100) centralized. This standard was drafted. First Institute of Ministry of Public Security, National Defense Science and Technology University, Peking University, Shenzhen Di Pulse Technology Co., Ltd., in the control of wisdom Technology Co., Ltd., Ningbo Yongfa Intelligent Security Technology Co., Ltd. The main drafters of this standard. Hou Hongchuan, Qi Wei Wei, Lu Lei, Xie Jianbin, Li Wenxin, Huang Houjun, Xu Wei, Li Zhunong, Cao Zhongwei. Public safety finger vein identification applications Algorithm identification performance evaluation method

1 Scope

This standard specifies the public safety finger vein recognition algorithm recognition performance evaluation of the test database construction guidelines, test methods and evaluation method. This standard applies to public safety finger vein recognition algorithms in the identification of performance testing and evaluation. Other areas refer to vein recognition applications Can refer to use.

2 Normative references

The following documents for the application of this document is essential. For dated references, only the dated version applies to this article Pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 35742-2017 Public safety finger vein identification application image technical requirements 3 Terms and Definitions, Abbreviations 3.1 Terms and definitions The following terms and definitions apply to this document. 3.1.1 Feature file featurefile The specific format of the extracted feature information is saved. 3.1.2 Similarity Similarity values of the two feature information that are compared with each other. Note. The value range [0.000, 1.000], the value of 0.000 means no match at all, and the value of 1.000 means the exact match. 3.1.3 Sampling object samplingobject The main source of sample collection. 3.1.4 Register enrolment Collect, extract and store known human sample feature information. 3.1.5 Registration failure rate enrolmentfailurerate The percentage of the number of sampling objects that failed to collect the extracted feature information and completed storage to the total number of sampling objects. 3.1.6 Finger vein recognition response time responsetimeforfingerveinrecognition Complete a finger vein characteristic information extraction and template comparison of the total time. ......

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