%0 Journal Article
	%A Mohamed El Aroussi and  Mohammed El Hassouni and  Sanaa Ghouzali and  Mohammed Rziza and  Driss Aboutajdine
	%D 2009
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 35, 2009
	%T Local Steerable Pyramid Binary Pattern Sequence LSPBPS for Face Recognition Method
	%U https://publications.waset.org/pdf/9414
	%V 35
	%X In this paper the problem of face recognition under variable illumination conditions is considered. Most of the works in the literature exhibit good performance under strictly controlled acquisition conditions, but the performance drastically drop when changes in pose and illumination occur, so that recently number of approaches have been proposed to deal with such variability. The aim of this work is to introduce an efficient local appearance feature extraction method based steerable pyramid (SP) for face recognition. Local information is extracted from SP sub-bands using LBP(Local binary Pattern). The underlying statistics allow us to reduce the required amount of data to be stored. The experiments carried out on different face databases confirm the effectiveness of the proposed approach.

	%P 2098 - 2101