Name
Abstract | ||
|---|---|---|
An iris segmentation technique, optimized for relatively low quality images acquired with smartphone visible-near infrared cameras is presented. The proposed technique is based on 1-D processing of the eye image and does not employ geometrical shape fitting. Hence, it is computationally efficient and enables multiple iris images to be extracted sequentially at native frame rates. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICCE.2016.7430578 | ICCE |
Keywords | Field | DocType |
cameras,feature extraction,image segmentation,iris recognition,optimisation,smart phones,eye image processing,iris image extraction,multiframe iris segmentation,optimization,smart phone,visible-near infrared camera | Iris recognition,Computer vision,Authentication,Segmentation,Computer science,Image segmentation,Artificial intelligence,Frame rate,Shape fitting | Conference |
ISBN | Citations | PageRank |
978-1-4673-8363-9 | 3 | 0.39 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| shejin thavalengal | 1 | 62 | 5.73 |
| Petronel Bigioi | 2 | 43 | 4.76 |
| P. M. Corcoran | 3 | 414 | 82.56 |