Mohamed El Aroussi and Mohammed El Hassouni and Sanaa Ghouzali and Mohammed Rziza and Driss Aboutajdine
Local Steerable Pyramid Binary Pattern Sequence LSPBPS for Face Recognition Method
2098 - 2101
2009
3
11
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/9414
https://publications.waset.org/vol/35
World Academy of Science, Engineering and Technology
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 subbands 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.
Open Science Index 35, 2009