%0 Journal Article
	%A El Mahdi Barrah and  Said Safi and  Abdessamad Malaoui
	%D 2015
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 104, 2015
	%T Extended Set of DCT-TPLBP and DCT-FPLBP for Face Recognition
	%U https://publications.waset.org/pdf/10002800
	%V 104
	%X In this paper, we describe an application for face
recognition. Many studies have used local descriptors to characterize
a face, the performance of these local descriptors remain low by
global descriptors (working on the entire image). The application of
local descriptors (cutting image into blocks) must be able to store
both the advantages of global and local methods in the Discrete
Cosine Transform (DCT) domain. This system uses neural network
techniques. The letter method provides a good compromise between
the two approaches in terms of simplifying of calculation and
classifying performance. Finally, we compare our results with those
obtained from other local and global conventional approaches.
	%P 1984 - 1987