Name
Abstract | ||
|---|---|---|
In iris recognition, most of the research was conducted on operation under near infrared illumination. For an iris recognition system to be deployed on common hardware devices, such as laptops or mobile phones, its ability of working with visible spectrum iris images is necessary. Two of the main possible approaches to cope with noisy images in a colour iris recognition system are either to apply image enhancement techniques or to extract multiple types of features and subsequently to employ an efficient fusion mechanism. The contribution of the present paper consists of comparing which of the two above mentioned approaches is best in both identification and verification scenarios of a colour iris recognition system. The efficiency of the two approaches is demonstrated on UBIRISv1 dataset. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EST.2012.33 | EST |
Keywords | Field | DocType |
colour iris recognition,colour iris recognition system,common hardware device,visible spectrum iris image,iris recognition,mobile phone,main possible approach,image enhancement technique,efficient fusion mechanism,iris recognition system,image enhancement vs feature,ubirisv1 dataset,image fusion,feature extraction | Fusion mechanism,Computer vision,Iris recognition,Feature fusion,Pattern recognition,Image fusion,Computer science,Feature extraction,Artificial intelligence,Principal component analysis | Conference |
Citations | PageRank | References |
1 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| petru radu | 1 | 32 | 3.25 |
| K. Sirlantzis | 2 | 36 | 3.39 |
| Gareth Howells | 3 | 280 | 44.88 |
| Sanaul Hoque | 4 | 93 | 13.16 |
| Farzin Deravi | 5 | 296 | 36.61 |