Name
Abstract | ||
|---|---|---|
This paper focuses on smartphone based palmprint authentication. Various challenges in unconstrained acquisition and processing such as segmentation of palm images in a wide variety of backgrounds and illumination conditions are addressed. The main contribution of the paper is to eliminate the illumination using local illumination normalization algorithm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICCE.2016.7430692 | ICCE |
Keywords | Field | DocType |
image segmentation,message authentication,mobile computing,palmprint recognition,smart phones,illumination normalization algorithm,palm image segmentation,palmprint authentication,smart phone biometric | Computer vision,Normalization (statistics),Biometrics access control,Authentication,Segmentation,Computer science,Euclidean distance,Feature extraction,Artificial intelligence,Biometrics,Local illumination | Conference |
ISBN | Citations | PageRank |
978-1-4673-8363-9 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hossein Javidnia | 1 | 10 | 4.71 |
| Adrian Ungureanu | 2 | 0 | 0.34 |
| Claudia Costache | 3 | 2 | 2.07 |
| P. M. Corcoran | 4 | 414 | 82.56 |