Name
Title | ||
|---|---|---|
Bi-local region based iris segmentation framework for less- constrained visible wavelength images |
Abstract | ||
|---|---|---|
Iris recognition systems often degrade in performance when the subjects' cooperation is not expected in a less-constrained environment captured from a greater distance by visible wavelength imaging system. Algorithms in this field have reported inaccurate segmentations due to non-circular geometry of the iris and various noise factors introduced by non-cooperative subjects. In this paper, we propose a local region based active contour model to segment non-circular iris shape from visible wavelength images which are normally noisy and inhomogeneous. Accurate segmentation can be achieved through the proposed bi-local neighborhood approach which allows contour evolution using local region based terms while simultaneously avoiding occlusions without the need of separate image processing steps. B-spline formulation in this approach ensures simplicity and efficiency of this algorithm, thereby overcoming the limitations of active contour based methods in terms of computational power. The proposed algorithm has demonstrated good segmentation accuracy on NICE.I and NICE.II databases. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/ic.2016.0090 | 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) |
Keywords | DocType | ISBN |
Non-cooperative,active contour,B-splines,local region,iris segmentation,Non-cooperative,active contour,B-splines,local region,iris segmentation | Conference | 978-1-78561-400-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong-Yuen Chai | 1 | 0 | 0.34 |
| Bok-Min Goi | 2 | 498 | 62.02 |
| Yong Haur Tay | 3 | 225 | 20.14 |
| K. S. Teng | 4 | 0 | 0.34 |
| I. Yeo | 5 | 0 | 0.34 |