Daubechives Wavelet Based Face Recognition Using Modified LBP

With vast and fast development of information technology in our daily life plays an important role Storing significant information is a big challenge for researchers Face recognition is one of the most important fields in information technology where storing minimum significant information and accurate recognition is most challenging This paper proposes an idea of Daubechives wavelet based with modified Local Binary Pattern (LBP) for face recognition with minimum significant information Applying various Daubechive wavelets with single level decomposition, by considering only the approximation wavelets co-efficient reduces the storage capacity and gives significant information Then modified LBP is applied on significant wavelet coefficient for simple, fast and accurate face recognition Proposed work shows higher percentage of face recognition rate by using lesser features with effective threshold. © 2016 The Authors. Published by Elsevier B.V.