BSI 23/30421416 DC:2023 Edition
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BS ISO/IEC 5152. Information Technology. Biometric performance estimation methodologies using statistical models
Published By | Publication Date | Number of Pages |
BSI | 2023 | 30 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
6 | Foreword |
7 | Introduction |
9 | 1 Scope 2 Normative references 3 Terms and definitions 3.1 Performance measures |
10 | 3.2 Statistical terms 4 Details of estimation 4.1 Estimation of biometric performance based on extreme value theory |
11 | 4.2 Estimation design 4.3 Generalized Extreme Value Distribution [rGEV] |
13 | 4.4 Generalized Pareto Distribution (GP) |
15 | 4.5 Evaluation of the fitness of the model |
16 | 4.6 Selection of rGEV and GP 4.6.1 Differences between the two methodologies 4.6.2 Features of the two methodologies 5 Performance metrics |
17 | 6 Record keeping 7 Reporting estimation results 7.1 Reporting one-to-one comparison performance |
18 | 7.2 Reporting estimation results 7.3 Reporting form |
20 | Annex€A (normative) Extreme Value Theory |
25 | Annex€B (informative) Examples applied to multiple modality datasets to demonstrate the validity of the methodology |
30 | Bibliography |