Name
Abstract | ||
|---|---|---|
As iris biometrics increasingly becomes a large-scale application, the issue of interoperability between iris sensors becomes an important topic of research. This work presents experiments which compare three commercially available iris sensors and investigates the impact of cross-sensor matching on system performance. The sensors are evaluated using three different iris matching algorithms, and conclusions are drawn regarding the interaction between the sensors and the matching algorithm in a cross-sensor scenario. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CVPRW.2011.5981814 | Computer Vision and Pattern Recognition Workshops |
Keywords | Field | DocType |
image matching,image sensors,iris recognition,commercial iris cameras,cross-sensor evaluation,cross-sensor matching,iris biometrics,iris matching algorithms,iris sensors,system performance,prediction algorithms,image sensor,iris | Iris recognition,Computer vision,Pattern recognition,Image sensor,Computer science,Image matching,Interoperability,Prediction algorithms,Artificial intelligence,Biometrics,Blossom algorithm | Conference |
Volume | Issue | ISSN |
2011 | 1 | 2160-7508 |
ISBN | Citations | PageRank |
978-1-4577-0529-8 | 16 | 0.94 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryan Connaughton | 1 | 40 | 2.74 |
| Amanda Sgroi | 2 | 43 | 4.58 |
| Kevin W. Bowyer | 3 | 11121 | 734.33 |
| Patrick J. Flynn | 4 | 4405 | 307.04 |