Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

BIOSIG 2012 P-196, 293-303 (2012).

Gesellschaft für Informatik, Bonn

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Fast and efficient face recognition system using random forest and histograms of oriented gradients

Abdel Ilah Salhi , Mustapha Kardouchi and Nabil Belacel


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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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-290-1

Last changed 20.02.2014 12:44:49