Name
Abstract | ||
|---|---|---|
Iris recognition and searching are attractive in biometrics for many reasons. The spatial patterns have been studied and recognized effectively for several years. They are more complex than fingerprints. We suggest here that the relatively new field of Artificial Color filtering can provide an orthogonal discriminant to the spatial pattern discriminant. We also show how to combine results from the two discriminants in such a way as to improve performance of the combined system over either part-something that has been troubling until now. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.patrec.2005.03.032 | Pattern Recognition Letters |
Keywords | Field | DocType |
spatial pattern discriminant,iris recognition,support vector machine,combined system,spatial pattern,bayesian analysis,artificial color,orthogonal discriminant,biometrics,new field | Computer vision,Iris recognition,Pattern recognition,Discriminant,Support vector machine,Filter (signal processing),Artificial intelligence,Biometrics,Spatial ecology,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
26 | 14 | Pattern Recognition Letters |
Citations | PageRank | References |
19 | 0.94 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Fu | 1 | 54 | 5.62 |
| H. John Caulfield | 2 | 443 | 164.79 |
| Seong-moo Yoo | 3 | 423 | 53.22 |
| Venkata Atluri | 4 | 19 | 1.62 |