Comparison of PCA-, MDF-, and RD-LDA-based Feature Extraction Approaches for Hand-based Personal Recognition (CROSBI ID 530251)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pavešić, Nikola ; Ribarić, Slobodan ; Grad, Benjamin
engleski
Comparison of PCA-, MDF-, and RD-LDA-based Feature Extraction Approaches for Hand-based Personal Recognition
In this paper, Principal Component Analysis (PCA), Most Discriminant Features (MDF) and Regularized-Direct Linear Discriminant Analysis (RD_LDA)- based feature extraction approaches are tested and compared in an experimental personal recognition system.
personal recognition; multimodal systems; fingerprint; palmprint; digitprint
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Podaci o prilogu
v.3-1-V3-7.
2007.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the International Conference on Computer Systems and Tehnologies : CompSysTech'07
B. Rachev, B. ; Smirkarov, A. ; Dimov, D.
Ruse: Bulgarian Chapter of ACM
978-954-9641-50-9
Podaci o skupu
International Conference on Computer Systems and Tehnologies : CompSysTech'07
predavanje
14.06.2007-15.06.2007
Ruse, Bugarska
