Open AccessWavelet-Local binary pattern based face recognition
Author(s) -
Azad Abdullah Ameen,
Hardi M. M-Saleh,
Zrar Kh. Abdul
Publication year - 2017
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v16i1.5779
Subject(s) - pattern recognition (psychology) , artificial intelligence , wavelet transform , wavelet , stationary wavelet transform , wavelet packet decomposition , local binary patterns , second generation wavelet transform , discrete wavelet transform , computer science , subspace topology , face (sociological concept) , facial recognition system , lifting scheme , binary number , harmonic wavelet transform , computer vision , mathematics , image (mathematics) , histogram , social science , sociology , arithmetic
Over the last twenty years face recognition has made immense progress based on statistical learning or subspace discriminant analysis. This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, which is constructed by applying wavelet transform into local binary pattern. The approach is evaluated in two ways: wavelet transform applied to the LBP features and wavelet transform applied twice on the original image and LBP features. The resultant data are compared to the results obtained without applying wavelet transform, revealing that the reduction base one wavelet achieves the same or sometimes improved accuracy. The proposed algorithm is experimented on the Cambridge ORL Face database.