Enhanced LBP-Based Face Recognition System Using a Heuristic Approach for Searching Weight Set

Abstract : 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.
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Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.547-558, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_50〉
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Nhat-Quan Nguyen, Thai Le. Enhanced LBP-Based Face Recognition System Using a Heuristic Approach for Searching Weight Set. Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.547-558, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_50〉. 〈hal-01405642〉

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