Name
Title | ||
|---|---|---|
Genetically identical irises have texture similarity that is not detected by iris biometrics |
Abstract | ||
|---|---|---|
As the standard iris biometric algorithm ''sees'' them, the left and right irises of the same person are as different as irises of unrelated people. Similarly, in terms of iris biometric matching, the eyes of identical twins are as different as irises of unrelated people. The left and right eyes of an individual or the eyes of identical twins are examples of genetically identical irises. In experiments with human observers viewing pairs of iris images acquired using an iris biometric system, we have found that there is recognizable similarity in the left and right irises of an individual and in the irises of identical twins. This result suggests that iris texture analysis different from that performed in the standard iris biometric algorithm may be able to answer questions that iris biometrics cannot answer. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.cviu.2011.06.010 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
identical iris,identical twin,texture similarity,standard iris,right iris,iris biometric system,biometric algorithm,iris image,iris biometrics,iris biometric matching,genetically identical iris,unrelated people,iris recognition,genetics | Iris recognition,Computer vision,Left and right,Artificial intelligence,Biometrics,Mathematics,Biometric system | Journal |
Volume | Issue | ISSN |
115 | 11 | 1077-3142 |
Citations | PageRank | References |
9 | 0.88 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karen Hollingsworth | 1 | 452 | 20.39 |
| Kevin W. Bowyer | 2 | 11121 | 734.33 |
| Stephen Lagree | 3 | 10 | 1.22 |
| Samuel P. Fenker | 4 | 9 | 0.88 |
| Patrick J. Flynn | 5 | 4405 | 307.04 |