| Download | - View accepted manuscript: Face recognition using histograms of fuzzy oriented gradients (PDF, 728 KiB)
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| Author | Search for: Salhi, Abdel Ilah; Search for: Kardouchi, Mustapha; Search for: Belacel, Nabil1 |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | International Conference on Computer Applications Technology ICCAT’ 2013, 20-22 January 2013, Sousse, Tunisia |
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| Subject | fuzzy sets; HOG; HFOG; face recognition; feature dimension |
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| Abstract | Efficient 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. |
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| Publication date | 2013-01 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21261867 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | f6594e0d-b5cd-4ad8-b034-89b43bde732f |
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| Record created | 2013-03-11 |
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| Record modified | 2020-06-04 |
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