Local steerable pyramid binary pattern sequence LSPBPS for face recognition method

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. Keywords--Face recognition (FR), Steerable pyramid (SP), local Binary Pattern (LBP).
I. Introduction IN the last two decades, several studies have proposed to deploy multi-resolution feature extraction algorithms in face recognition. Among multi-resolution algorithms, the most popular are Discrete Wavelet transform [...]