Name
Abstract | ||
|---|---|---|
We use BRIEF binary local image descriptors as minutia descriptors for indexing of biometric fingerprint databases. Tests with varying descriptor size and parametrisation are performed on a proprietary database. Compared with the speed of an implementation of conventional minutiae matching, we find that BRIEF descriptors are fast enough for database indexing. The tested descriptors outperform two other image descriptors (LBP, HoG) from recent literature with respect to matching rates and average penetration rates. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1504/IJBM.2019.099010 | INTERNATIONAL JOURNAL OF BIOMETRICS |
Keywords | Field | DocType |
biometrics, fingerprints, indexing, BRIEF, image descriptors | Economics,Information retrieval,Fingerprint indexing,Minutiae,Marketing | Journal |
Volume | Issue | ISSN |
11 | 2 | 1755-8301 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Pollak | 1 | 3 | 2.15 |
| Roland Richter | 2 | 2 | 0.70 |