BS ISO/IEC 5152:2024
$167.15
Information technology. Biometric performance estimation methodologies using statistical models
Published By | Publication Date | Number of Pages |
BSI | 2024 | 34 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | undefined |
6 | Foreword |
7 | Introduction |
9 | 1 Scope 2 Normative references 3 Terms and definitions |
10 | 4 Symbols and abbreviated terms 5 Conformance 6 Details of estimation 6.1 Estimation of biometric performance based on extreme value theory |
11 | 6.2 Estimation design 6.3 Generalized extreme value distribution |
13 | 6.4 Generalized Pareto distribution |
15 | 6.5 Evaluation of the fitness of the model |
16 | 6.6 Selection of rGEV and GP 6.6.1 Differences between the two methodologies |
17 | 6.6.2 Features of the two methodologies 7 Performance metrics |
18 | 8 Record keeping 9 Reporting estimation results 9.1 Reporting one-to-one comparison performance 9.2 Reporting estimation results |
19 | 9.3 Reporting form |
21 | Annex A (informative) Extreme value theory |
26 | Annex B (informative) Examples applied to multiple modality datasets to demonstrate the validity of the methodology |
33 | Bibliography |