%0 Journal Article %A 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 %D 2012 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 66, 2012 %T Finger Vein Recognition using PCA-based Methods %U https://publications.waset.org/pdf/9030 %V 66 %X 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. %P 593 - 595