Abstract
The paper presents a novel approach to face recognition using Local Binary Patterns (LBP) with the novel soft chi square and soft power metrics. Results of intensive experiments on two public databases, FERET and AT&T, show that these new metrics are efficient and flexible for real-time face recognition applications. They can reduce time performance and also achieve high recognition rate. © 2011 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Bui, L., Tran, D., Huang, X., & Chetty, G. (2011). Novel metrics for face recognition using local binary patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6881 LNAI, pp. 436–445). https://doi.org/10.1007/978-3-642-23851-2_45
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
