Name
Abstract | ||
|---|---|---|
This paper presents a novel approach for automatic pupil segmentation. The proposed algorithm uses local histogram and standard deviation based adaptive thresholding method that looks for the region that has the highest probability of having the pupil. We have tested our proposed algorithm on two public databases namely: CASIA v1.0 and MMU v1.0. Experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.863264 | VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010 |
Keywords | Field | DocType |
Pupil Segmentation, Standard Deviation, Adaptive Thresholding | Histogram,Computer vision,Adaptive method,Computer science,Segmentation,Pupil,Robustness (computer science),Artificial intelligence,Thresholding,Standard deviation | Conference |
Volume | ISSN | Citations |
7744 | 0277-786X | 3 |
PageRank | References | Authors |
0.39 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Talal Ibrahim | 1 | 57 | 7.33 |
| tariq khan | 2 | 50 | 7.73 |
| Muhammad Aurangzeb Khan | 3 | 55 | 6.92 |
| Ling Guan | 4 | 82 | 9.90 |