Face recognition using histograms of fuzzy oriented gradients

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Proceedings titleProceedings of International Conference on Computer Applications Technology ICCAT' 2013
ConferenceInternational Conference on Computer Applications Technology ICCAT’ 2013, 20-22 January 2013, Sousse, Tunisia
Subjectfuzzy sets; HOG; HFOG; face recognition; feature dimension
AbstractEfficient face descriptors require a careful equilibration between accuracy and feature dimension. In recent years Histogram of Oriented Gradient (HOG) starts to be used in the face recognition task. However the best recognition rate for HOG requires a high dimensional feature. In this paper, we will incorporate fuzzy concept to HOG aiming to achieve a good recognition rate with a low feature vector dimension. The proposed Histogram of Fuzzy Oriented Gradient will be applied to the face recognition task. Experimental results on ORL database show that HFOG outperforms the standard HOG in terms of recognition rate with a lower dimensional vector.
Publication date
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number21261867
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Record identifierf6594e0d-b5cd-4ad8-b034-89b43bde732f
Record created2013-03-11
Record modified2016-05-09
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