Name
Abstract | ||
|---|---|---|
Iris is considered as one of the best biometric trait for human authentication due to its accuracy and permanence. However easy iris spoofing raise the risk of false acceptance or false rejection. Recent iris recognition research has made an attempt to quantify the performance degradation due to the use of contact lens. This study proposes a strategy to detect soft contact lens in visual pictures of the eye obtained using NIR sensor. The lens border is detected by considering small annular ring-like area near the outer iris boundary and locating candidate points while traversing along the lens perimeter. The system performance is evaluated over public databases such as IIITD-Cogent, UND 2010, IIITD-Vista along with our self created IITK database. The rigorous experimentation revels the superior performance of the proposed system as compared with other existing techniques. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0005702005890596 | ICPRAM |
Field | DocType | Citations |
Iris recognition,Computer vision,Authentication,Spoofing attack,Pattern recognition,Computer science,Contact lens,Hough transform,Artificial intelligence,Biometrics | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Balender Kumar | 1 | 0 | 0.68 |
| Aditya Nigam | 2 | 154 | 28.82 |
| Phalguni Gupta | 3 | 805 | 82.58 |