Name
Abstract | ||
|---|---|---|
This paper deals with detecting abnormal situations in iris authentication, such as cosmetic contact lenses, printed iris images, and fake eyeballs. The proposed algorithms exploit liveness of iris images and texture features to discriminate the fake iris inputs. In the proposed process, the liveness of iris images is first evaluated by inspecting the variation of eyelid curvature, blinking, and pupil gaze. The liveness test filters the most of fake eyeball and printed iris images. Then, the features of true iris images are examined to detect cosmetic contact lenses and fake iris images which have passed the liveness test. According to the experiments with commercial mobile devices, the proposed algorithms detect abnormal iris inputs with 95% accuracy. The proposed system prevents fake and inappropriate iris inputs, thus it makes iris authentication systems to be more reliable. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCE.2019.8661910 | 2019 IEEE International Conference on Consumer Electronics (ICCE) |
Field | DocType | ISSN |
Computer vision,Authentication,Gaze,Computer science,Pupil,Mobile device,Lens (optics),Artificial intelligence,Liveness | Conference | 2158-3994 |
ISBN | Citations | PageRank |
978-1-5386-7910-4 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaehoon Lee | 1 | 34 | 7.85 |
| Sang Hwa Lee | 2 | 138 | 25.02 |
| Jong-Il Park | 3 | 465 | 67.34 |