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Multimodal face recognition using spectral transformation by LBP and polynomial coefficients

This paper presents a multimodal face recognition using spectral transformation by Local Binary Pattern (LBP) and Polynomial Coefficients. Here 2D image and 3D image are combined to get multimodal face recognition. In this method a novel feature extraction is done using LBP and Polynomial Coefficients. Then these features are spectrally transformed using Discrete Fourier Transform (DFT). These spectrally transformed features extracted from texture image using the two methods are combined at the score level. Similarly this is done in depth image. Finally feature information from texture and depth are combined at the score level which gives better results than the individual results.