Name
Abstract | ||
|---|---|---|
This paper presents a novel method for the automatic pupil and iris localization. The proposed algorithm is based on an automatic adaptive thresholding method that iteratively looks for a region that has the highest chances of enclosing the pupil. Once the pupil is localized, next step is to find the boundary of iris based on the first derivative of each row of the area within the pupil. We have tested our proposed algorithm on two public databases namely: CASIA v1.0 and MMU v1.0 and experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21596-4_9 | ICIAR (2) |
Keywords | Field | DocType |
mmu v1,efficient feedback method,casia v1,novel method,automatic pupil,automatic adaptive,good robustness,proposed algorithm,iris localization | Computer vision,Iris recognition,Pattern recognition,Computer science,Iris localization,Pupil,Robustness (computer science),Artificial intelligence,Thresholding | Conference |
Volume | ISSN | Citations |
6754 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Talal Ibrahim | 1 | 57 | 7.33 |
| Tariq Mehmood | 2 | 10 | 1.67 |
| Muhammad Aurangzeb Khan | 3 | 55 | 6.92 |
| Ling Guan | 4 | 82 | 9.90 |