Aguará : an Improved Face Recognition Algorithm through Gabor Filter Adaptation
Resumen:
We developed an EBGM-based algorithm that successfully implements face recognition under constrained conditions. A suitable adaptation of the Gabor filters was found through a power spectral analisys (PSD) of the face images. We outperformed the best-known implementations of the EBGM algorithm in the FERET database. The results are comparable with those of the state of the art.
| 2007 | |
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Face recognition Feature extraction Gabor filters Graph theory Image matching Spectral analysis |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38757 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
