Name
Title | ||
|---|---|---|
Fingerprint singular points detection and direction estimation with a “t” shape model |
Abstract | ||
|---|---|---|
As a sort of evident landmark features of fingerprints, singular points (SPs) play important roles in fingerprint alignment, classification and recognition. We present an adaptive “T” shape model of SPs and develop a robust and generic approach to detect SPs and their directions simultaneously. The proposed approach utilizes homocentric sectors around candidate SPs to pick out lateral-axes and further main-axes based on the proposed model. The results of the experiment conducted on a public database, FVC 2002, demonstrate the effectiveness of the method in this paper. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11527923_21 | AVBPA |
Keywords | Field | DocType |
shape model,important role,generic approach,evident landmark feature,public database,fingerprint alignment,homocentric sector,direction estimation,fingerprint singular points detection,candidate sps,singular point | Point estimation,Singular point of a curve,Computer vision,Computer science,sort,Model-based reasoning,Image processing,Fingerprint,Artificial intelligence,Biometrics,Landmark | Conference |
Volume | ISSN | ISBN |
3546 | 0302-9743 | 3-540-27887-7 |
Citations | PageRank | References |
4 | 0.52 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Liu | 1 | 47 | 12.77 |
| Pengwei Hao | 2 | 347 | 33.04 |
| Chao Zhang | 3 | 174 | 13.53 |