This document establishes<\/p>\n
terms and definitions for quantifying finger image quality,<\/p>\n<\/li>\n
methods used to quantify the quality of finger images, and<\/p>\n<\/li>\n
standardized encoding of finger image quality,<\/p>\n<\/li>\n<\/ul>\n
for finger images at 196,85 px\/cm spatial sampling rate scanned or captured using optical sensors with capture dimension (width, height) of at least 1,27 cm \u00d7 1,651 cm.<\/p>\n
| PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
|---|---|---|---|---|---|---|---|
| 2<\/td>\n | National foreword <\/td>\n<\/tr>\n | ||||||
| 6<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
| 7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
| 8<\/td>\n | 1 Scope 2 Normative references 3 Terms, definitions, symbols and abbreviated terms <\/td>\n<\/tr>\n | ||||||
| 9<\/td>\n | 4 Conformance 5 Finger image quality metrics 5.1 Overview 5.1.1 General <\/td>\n<\/tr>\n | ||||||
| 10<\/td>\n | 5.1.2 Constituent of local quality metrics 5.1.3 Constituent of global quality metrics 5.1.4 Image preprocessing <\/td>\n<\/tr>\n | ||||||
| 12<\/td>\n | 5.1.5 Image examples 5.2 Normative contributive quality metrics 5.2.1 General 5.2.2 Orientation certainty level <\/td>\n<\/tr>\n | ||||||
| 14<\/td>\n | 5.2.3 Local clarity score <\/td>\n<\/tr>\n | ||||||
| 18<\/td>\n | 5.2.4 Frequency domain analysis (FDA) score <\/td>\n<\/tr>\n | ||||||
| 20<\/td>\n | 5.2.5 Ridge valley uniformity <\/td>\n<\/tr>\n | ||||||
| 21<\/td>\n | 5.2.6 Orientation flow <\/td>\n<\/tr>\n | ||||||
| 22<\/td>\n | 5.2.7 MU 5.2.8 MMB <\/td>\n<\/tr>\n | ||||||
| 23<\/td>\n | 5.2.9 Minutiae count in finger image 5.2.10 Minutiae count in center of mass region 5.2.11 Minutiae quality based on local image mean <\/td>\n<\/tr>\n | ||||||
| 24<\/td>\n | 5.2.12 Minutiae quality based on local orientation certainty level 5.2.13 Region of interest image mean <\/td>\n<\/tr>\n | ||||||
| 26<\/td>\n | 5.2.14 Region of interest orientation map coherence sum <\/td>\n<\/tr>\n | ||||||
| 27<\/td>\n | 5.2.15 Region of interest relative orientation map coherence sum 5.2.16 Quality feature vector composition <\/td>\n<\/tr>\n | ||||||
| 30<\/td>\n | 5.3 Non-normative quality metrics 5.3.1 General 5.3.2 Radial power spectrum <\/td>\n<\/tr>\n | ||||||
| 32<\/td>\n | 5.3.3 Gabor quality score <\/td>\n<\/tr>\n | ||||||
| 34<\/td>\n | 5.4 Unified quality score 5.4.1 Methodology for combining quality metrics 5.4.2 Training method <\/td>\n<\/tr>\n | ||||||
| 35<\/td>\n | 6 Finger image quality data record 6.1 Binary encoding <\/td>\n<\/tr>\n | ||||||
| 36<\/td>\n | 6.2 XML encoding <\/td>\n<\/tr>\n | ||||||
| 37<\/td>\n | 6.3 Quality algorithm identifiers <\/td>\n<\/tr>\n | ||||||
| 39<\/td>\n | Annex\u00a0A (normative) Conformance test assertions <\/td>\n<\/tr>\n | ||||||
| 51<\/td>\n | Annex\u00a0B (informative) Factors influencing fingerprint image character <\/td>\n<\/tr>\n | ||||||
| 53<\/td>\n | Annex\u00a0C (informative) Area consideration <\/td>\n<\/tr>\n | ||||||
| 54<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Information technology. Biometric sample quality – Finger image data<\/b><\/p>\n |