Pregled bibliografske jedinice broj: 307867
Comparison of PCA-, MDF-, and RD-LDA-based Feature Extraction Approaches for Hand-based Personal Recognition
Comparison of PCA-, MDF-, and RD-LDA-based Feature Extraction Approaches for Hand-based Personal Recognition // Proceedings of the International Conference on Computer Systems and Tehnologies : CompSysTech'07 / B. Rachev, B. ; Smirkarov, A. ; Dimov, D. (ur.).
Ruse: Bulgarian Chapter of ACM, 2007. str. v.3-1 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Comparison of PCA-, MDF-, and RD-LDA-based Feature Extraction Approaches for Hand-based Personal Recognition
Autori
Pavešić, Nikola ; Ribarić, Slobodan ; Grad, Benjamin
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Computer Systems and Tehnologies : CompSysTech'07
/ B. Rachev, B. ; Smirkarov, A. ; Dimov, D. - Ruse : Bulgarian Chapter of ACM, 2007, V.3-1
ISBN
978-954-9641-50-9
Skup
International Conference on Computer Systems and Tehnologies : CompSysTech'07
Mjesto i datum
Ruse, Bugarska, 14.06.2007. - 15.06.2007
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
personal recognition; multimodal systems; fingerprint; palmprint; digitprint
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Slobodan Ribarić
(autor)
