Name
Title | ||
|---|---|---|
A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation |
Abstract | ||
|---|---|---|
Iris localization is a crucial step in iris recognition. The previous proposed algorithms perform unsatisfactorily due to the disturbing of eyelash and variation of image brightness. To solve these problems, we proposed a robust iris position estimation algorithm based on phase congruency analysis and LTSE (Least Trimmed Squares Estimation). Through using the robust regression method to fit iris edge points we can solve the eyelash occlusion problem at a certain extent. The experimental results demonstrate the validity of this algorithm. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04146-4_73 | ICIAP |
Keywords | Field | DocType |
robust iris localization model,iris edge point,iris recognition,crucial step,iris localization,certain extent,trimmed squares estimation,robust iris position estimation,previous proposed algorithm,robust regression method,eyelash occlusion problem,phase congruency,robust regression,least trimmed squares | Computer vision,Iris recognition,Pattern recognition,Least trimmed squares,Computer science,Iris localization,Robust regression,Artificial intelligence,Phase congruency,Brightness,Eyelash | Conference |
Volume | ISSN | Citations |
5716 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lili Pan | 1 | 46 | 6.25 |
| Mei Xie | 2 | 56 | 13.64 |
| Tao Zheng | 3 | 0 | 0.34 |
| Jianli Ren | 4 | 0 | 0.34 |