| Auteur | Rechercher : Salhi, Abdel Ilah; Rechercher : Kardouchi, Mustapha; Rechercher : Belacel, Nabil1 |
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| Affiliation | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Article |
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| Conférence | 2012 International Conference of the Biometrics Special Interest Group (BIOSIG), 6-7 September 2012, Darmstadt, Germany |
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| Résumé | The efficient face recognition systems are those which are able to achieve higher recognition rate with lower computational cost. To develop such systems both feature representation and classification method should be accurate and less time consuming.Aiming to satisfy these criteria we coupled the HOG descriptor (Histograms of Oriented Gradients) with the Random Forest classifier (RF). Although rarely used in face recognition, HOG have proven to be a power descriptor in this task with a lower computational time. As regards classification method, recent works have shown that apart from their accuracy when compared with its competitors, Random Forest exhibits a low computational time in both training and testing phase. Experimental results on ORL database have demonstrated the efficiency of this combination. |
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| Date de publication | 2012-09 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21268094 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | d7f33e83-d1a5-4a34-b194-614aee4a4f9e |
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| Enregistrement créé | 2013-04-09 |
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| Enregistrement modifié | 2020-04-21 |
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