@Article{JICS-12-041,
author = {Lifang Lin and Chuanlin Zhang},
title = {Multi-scale logarithmic difference face recognition based on local binary pattern},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {1},
pages = {041--051},
abstract = {In order to solve the problem that face recognition is sensitive to illumination variation and local 
binary  pattern  has  small  spatial  support  region.  A  novel  face  recognition  approach  which  is  multi-scale 
logarithmic  difference  face  recognition  based  on  local  binary  pattern  is  proposed.  Firstly,  LBP  operator  is 
used to extract the texture feature of the face. Secondly, the LBP feature is used to extract the light invariant 
based on the Lambertian reflection model. Then, the light invariant is used to obtain the multi-scale features 
according  to  the  different  distances,  and  the  refined  feature-map  is  obtained  by  the  linear  combination  of 
multi-scale features. Finally, face recognition is performed using refined feature-map. Extension experiments 
on four data sets (Yale, FERET, ORL and MUI PIE) show that the proposed method which compares to LBP, 
MSLDE and Gradientface in different illumination conditions can improve the recognition performance. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22497.html}
}