Name
Abstract | ||
|---|---|---|
Reference point detection is an important process for fingerprint analysis. In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algorithm to calculate reference point of a fingerprint based on this kind of feature. Experimental results demonstrate its feasibility, validity and the ability to detect reference points of all classes of fingerprints including arch-type fingerprints which is difficult to locate a stable reference point with other methods |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.574 | ICPR (1) |
Keywords | Field | DocType |
fingerprint identification,stable reference point,reference point detection,novel feature,local axial symmetry,fingerprint reference point detection,fingerprint analysis,important process,arch-type fingerprint,reference point,object detection | Computer vision,Object detection,Pattern recognition,Fingerprint recognition,Computer science,Axial symmetry,Fingerprint,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
1 | 1051-4651 | 0-7695-2521-0 |
Citations | PageRank | References |
6 | 0.49 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Liu | 1 | 47 | 12.77 |
| Chao Zhang | 2 | 33 | 2.76 |
| Pengwei Hao | 3 | 347 | 33.04 |