Name
Title | ||
|---|---|---|
Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions. |
Abstract | ||
|---|---|---|
The authors propose a new method for sclera quality measure and segmentation under relaxed imaging constraints. In particular, for sclera image, they propose a new quality measure approach based on a focus measure. In addition, they propose a new fusion method for sclera segmentation which uses pixel properties of both the sclera area and the skin around the eye. Furthermore, sclera template rotat... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-bmt.2016.0114 | IET Biometrics |
Keywords | Field | DocType |
image classification,image segmentation,visual databases | Computer vision,Recognition system,Pattern recognition,Computer science,Segmentation,Image quality,Artificial intelligence,Sclera,Pixel,Focus measure | Journal |
Volume | Issue | ISSN |
6 | 4 | 2047-4938 |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinan Alkassar | 1 | 0 | 0.34 |
| W. L. Woo | 2 | 325 | 49.88 |
| S. S. Dlay | 3 | 198 | 23.94 |
| Jonathon A. Chambers | 4 | 56 | 6.96 |