Name
Abstract | ||
|---|---|---|
Iris location plays an important role in iris recognition system. Traditional iris location methods based on canny operator and integro-differential operator are affected by reflections, illumination inconsistency and eyelash. In this paper, we introduce an accurate iris location method for low quality iris images. First, a reflection removal method is used to interpolate the specular reflection. Then, we utilize Probable boundary (Pb) edge detection operator to detect papillary boundary with a lower interference point. Moreover, we optimize the Hough transform to obtain high accuracy result. Experimental results demonstrate that the location results of the proposed method are more accurate than other methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.946095 | Proceedings of SPIE |
Keywords | Field | DocType |
Iris location,Reflection removal,Pb edge detector,Hough transform | Iris recognition,Computer vision,Computer science,Edge detection,Interpolation,Specular reflection,Hough transform,Artificial intelligence,Interference (wave propagation),Operator (computer programming),Eyelash | Conference |
Volume | Issue | ISSN |
8334 | null | 0277-786X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Wang | 1 | 83 | 7.85 |
| Qiong Li | 2 | 68 | 10.69 |
| Ahmed A. Abd El-Latif | 3 | 371 | 36.32 |
| Tiejun Zhang | 4 | 10 | 3.21 |
| Jialiang Peng | 5 | 79 | 8.19 |