%0 Conference Proceedings
%T Enhanced LBP-Based Face Recognition System Using a Heuristic Approach for Searching Weight Set
%+ Ho Chi Minh City University of Science
%A Nguyen, Nhat-Quan, Huynh
%A Le, Thai, Hoang
%Z Part 8: Pattern Recognition and Image Processing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 547-558
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_50
%K Face recognition
%K Local binary patterns
%K Heuristic search
%K FERET
%K Weight set
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Local Binary Patterns is one of the most effective approaches for pattern recognition in general and face recognition in particular. There have been many studies on improving this method such as changing the input values or using another kind of histogram. Although weight set is also an important key leading to the success of this method, it does not seem to get much attention. A majority of LBP-based approaches are still using the weight set of Ahonen et al.’s study, one of the first researches applying LBP to face recognition. In this study, we introduce a powerful algorithm named Heuristic Weight Search, which finds a suitable weight set for not only LBP-based approaches but also other methods using weight set to improve performance. Experiments on the FERET database prove an ability of HWS thanks to their higher accuracy than original methods.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405642/document
%2 https://inria.hal.science/hal-01405642/file/978-3-662-45237-0_50_Chapter.pdf
%L hal-01405642
%U https://inria.hal.science/hal-01405642
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM