Name
Abstract | ||
|---|---|---|
Similar to biometric fingerprint recognition, characteristic minutiae points - here end - and branch points - can be extracted from skeletonized veins to distinguish individuals. An approach to extract those vein minutiae and to transform them into a fixed-length, translation and scale in variant representation where rotations can be easily compensated is presented in this paper. The proposed solution based on spectral minutiae is evaluated against other comparison strategies on three different datasets of wrist and palm vein samples. It shows a competitive biometric performance while producing features that are compatible with state-of-the-art template protection systems. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IJCB.2011.6117549 | Biometrics |
Keywords | Field | DocType |
skeletonized vein,spectral minutia,comparison strategy,competitive biometric performance,proposed solution,different datasets,vein pattern recognition,branch point,palm vein sample,vein minutia,fingerprint recognition,characteristic minutiae point,pattern recognition,scale invariance,fingerprint identification | Protection system,Computer vision,Economics,Pattern recognition,Fingerprint recognition,Minutiae,Fingerprint,Palm vein,Artificial intelligence,Biometrics,Finger vein recognition,Branch point | Conference |
ISBN | Citations | PageRank |
978-1-4577-1357-6 | 13 | 0.67 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Hartung | 1 | 77 | 7.65 |
| Martin Aastrup Olsen | 2 | 70 | 6.66 |
| Haiyun Xu | 3 | 130 | 15.77 |
| Christoph Busch | 4 | 339 | 31.75 |