Sepehr Damavandinejadmonfared and Ali Khalili Mobarakeh and Mohsen Pashna and Jiangping Gou
Sayedmehran Mirsafaie Rizi and Saba Nazari and Shadi Mahmoodi Khaniabadi and Mohamad Ali Bagheri
Finger Vein Recognition using PCAbased Methods
593 - 595
2012
6
6
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/9030
https://publications.waset.org/vol/66
World Academy of Science, Engineering and Technology
In this paper a novel algorithm is proposed to merit
the accuracy of finger vein recognition. The performances of
Principal Component Analysis (PCA), Kernel Principal Component
Analysis (KPCA), and Kernel Entropy Component Analysis (KECA)
in this algorithm are validated and compared with each other in order
to determine which one is the most appropriate one in terms of finger
vein recognition.
Open Science Index 66, 2012