Face recognition using a hybrid SVM–LBP approach and the Indian movie face database
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http://hdl.handle.net/10045/69524
Títol: | Face recognition using a hybrid SVM–LBP approach and the Indian movie face database |
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Autors: | Pujol, Francisco A. | Jimeno-Morenilla, Antonio | Sanchez-Romero, Jose-Luis |
Grups d'investigació o GITE: | UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Paraules clau: | Face recognition | Hybrid methods | Local binary patterns | Support vector machines |
Àrees de coneixement: | Arquitectura y Tecnología de Computadores |
Data de publicació: | 10-de setembre-2017 |
Editor: | Current Science Association |
Citació bibliogràfica: | Current Science. 2017, 113(5): 974-977. doi:10.18520/cs/v113/i05/974-977 |
Resum: | Local binary patterns (LBP) are an effective texture descriptor for face recognition. In this work, a LBP-based hybrid system for face recognition is proposed. Thus, the dimensionality of LBP histograms is reduced by using principal component analysis and the classification is performed with support vector machines. The experiments were completed using the challenging Indian Movie Face Database and show that our method achieves high recognition rates while reducing 95% the dimensions of the original LBP histograms. Moreover, our algorithm is compared against some state-of-the-art approaches. The results indicate that our method outperforms other approaches, with accurate face recognition results. |
URI: | http://hdl.handle.net/10045/69524 |
ISSN: | 0011-3891 |
DOI: | 10.18520/cs/v113/i05/974-977 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © Current Science Association |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.18520/cs/v113/i05/974-977 |
Apareix a la col·lecció: | INV - UNICAD - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2017_Pujol_etal_CurrentSci.pdf | 3,08 MB | Adobe PDF | Obrir Vista prèvia | |
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