Name
Abstract | ||
|---|---|---|
In this work we present a new face detection algorithm for biometric recognition systems, based on Empirical Mode Decomposition (EMD) that helps us to detect the central skin part of the face. After a binarization and dilatation process, we get an approximation of the face location that is finally established by adjusting an ellipse. Finally, a mask is created using the perimeter of this ellipse and applied to the original image, giving as a result the detected face. Experiments show the performance of the method, with a recognition rate of 97.60%. |
Year | Venue | Keywords |
|---|---|---|
2011 | BIOSIGNALS 2011 | Face detection,Empirical Mode Decomposition (EMD),Biometrics |
Field | DocType | Citations |
Signature recognition,Pattern recognition,Recognition system,Computer science,Artificial intelligence,Face detection,Biometrics | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jordi Solé-Casals | 1 | 82 | 23.24 |
| Carlos Manuel Travieso-González | 2 | 22 | 5.37 |
| Marcos del Pozo-Baños | 3 | 38 | 7.36 |
| Jesús B. Alonso | 4 | 311 | 38.51 |