Name
Abstract | ||
|---|---|---|
While identical twins identification is a well known challenge in face recognition, it seems that no work has explored automatic ear recognition for identical twin identification. Ear image recognition has been studied for years, but Iannarelli (1989) appears to be the only work mentioning the twin identification (performed manually). We here explore the possibility of automatic twin identification from their ear images based on a psychological model for face recognition in humans, known as Exception Report Model (ERM). We test our approach on 39 pairs of identical twins (78 subjects), with several levels of resolution, occlusion, noise, left vs. right ear, and feature optimization which verifies the robustness of the introduced features. |
Year | Venue | Keywords |
|---|---|---|
2012 | ICPR | ear,face recognition,image resolution,psychology,ERM,automatic ear image recognition,automatic identical twin identification,exception report model,face recognition,feature optimization,left ear,noise level,occlusion level,psychological model,resolution level,right ear |
Field | DocType | ISSN |
Ear recognition,Wonder,Computer vision,Facial recognition system,Pattern recognition,Computer science,Speech recognition,Robustness (computer science),Artificial intelligence | Conference | 1051-4651 |
Citations | PageRank | References |
9 | 0.51 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hossein Nejati | 1 | 32 | 5.29 |
| Li Zhang | 2 | 2286 | 151.94 |
| Terence Sim | 3 | 2562 | 169.42 |
| Elisa Martínez Marroquín | 4 | 13 | 2.30 |
| Dong Guo | 5 | 9 | 0.51 |