Name
Abstract | ||
|---|---|---|
Occlusion due to eyeglasses is one of the main challenges affecting the face and general ocular recognition, including eyebrow matching. In this study, the authors propose a convolutional neural network (CNN)-based method for (a) eyeglasses detection and segmentation to mitigate its impact on personal recognition in mobile devices and (b) use the shape of the glasses as a soft token of identity (s... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-bmt.2018.5230 | IET Biometrics |
Keywords | Field | DocType |
biometrics (access control),face recognition,feature extraction,image segmentation,iris recognition,learning (artificial intelligence),neural nets,object tracking | Computer vision,Authentication,Soft biometrics,Pattern recognition,Convolutional neural network,Segmentation,Computer science,Eyebrow,Artificial intelligence,Deep learning,Biometrics,Security token | Journal |
Volume | Issue | ISSN |
8 | 6 | 2047-4938 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Mohammad | 1 | 0 | 0.34 |
| Ajita Rattani | 2 | 266 | 17.85 |
| Reza Derakhshani | 3 | 166 | 21.08 |