|
| Year | Authors | Algorithm | Features | Testing database | Performance results |
|
| 2010 | Hollingsworth et al. [17] | Human analysis | Eye region | NIR images of 120 subjects | Accuracy of 92% |
|
| 2010 |
Woodard et al. [18] | LBP fused with iris matching | Skin | MBGC NIR images from 88 subjects | Left eye rank-1 recognition rate: | Iris 13.8%
Periocular 92.5%
Both 96.5% |
| Right eye rank-1 recognition rate: | Iris 10.1%
Periocular 88.7%
Both 92.4% |
|
| 2010 |
Miller et al. [19] | LBP | Color information, skin texture | FRGC neutral expression, different session | Rank-1 recognition rate: | Periocular 94.10%
Face 94.38% |
| FRGC alternate expression, same session | Rank-1 recognition rate: | Periocular 99.50%
Face 99.75% |
| FRGC alternate expression, a different session | Rank-1 recognition rate: | Periocular 94.90%
Face 90.37% |
|
| 2010 |
Miller et al. [20] | LBP, city block distance | Skin | FRGC VS images from 410 subjects | Rank-1 recognition rate: | Left eye 84.39%
Right eye 83.90%
Both eyes 89.76% |
| FERET VS images from 54 subjects | Rank-1 recognition rate: | Left eye 72.22%
Right eye 70.37%
Both eyes 74.07% |
|
| 2010 |
Adams et al. [21] | LBP, GE to select features | Skin | FRGC VS images from 410 subjects | Rank-1 recognition rate: | Left eye 86.85%
Right eye 86.26%
Both eyes 92.16% |
| FERET VS images from 54 subjects | Rank-1 recognition rate: | Left eye 80.25%
Right eye 80.80%
Both eyes 85.06% |
|
| 2011 |
Woodard et al. [22] | LBP, color histograms | Skin | FRGC neutral expression, a different session | Rank-1 recognition rate: | Left eye 87.1%
Right eye 88.3%
Both eyes 91.0% |
| FRGC alternate expression, same session | Rank-1 recognition rate: | Left eye 96.8%
Right eye 96.8%
Both eyes 98.3% |
| FRGC alternate expression, different session | Rank-1 recognition rate: | Left eye 87.1%
Right eye 87.1%
Both eyes 91.2% |
|
