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New technique for face recognition based on Singular Value Decomposition (SVD)

Authors: El Mahdi Barrah; Said Safi; Abdessamad Malaoui;

New technique for face recognition based on Singular Value Decomposition (SVD)

Abstract

In this paper, we describe a texture analysis which plays an important role in face analysis. Many studies have used texture image to characterize a face. Local Binary Pattern (LBP) coding is a state-of-the-art technique characterized by it's simplicity and efficiency. In the proposed method, we associate Local Binary Pattern with integral image representation, which permits to evaluate the sum of values over rectangular regions, in the Singular Value Decomposition (SVD) domain. Finally, the obtained results, using the proposed method, will be compared with those obtained from other local approaches.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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