TY - GEN
T1 - A new extension of kernel principal component analysis for finger vein authentication
AU - Damavandinejadmonfared, Sepehr
AU - Varadharajan, Vijay
PY - 2015
Y1 - 2015
N2 - In this paper, we introduce a new method of data transformation for finger vein recognition system. Our proposed method uses kernel mapping functions to map the data before performing Principal Component Analysis. Kernel Principal Component Analysis (KPCA) is a well-known extension of PCA which is suitable for finding nonlinear patterns as it maps the data nonlinearly. In this work we develop an extension of KPCA which is both faster and more appropriate than KPCA for finger vein recognition system. The proposed method is called Feature Dependent Kernel Principal Component Analysis (FDKPCA). In FDKPCA the data is mapped differently from KPCA resulting in lower-dimension feature space where more important and valuable features are selected and extracted. Furthermore, extensive experiments reveal the significance of the proposed method for finger vein recognition systems.
AB - In this paper, we introduce a new method of data transformation for finger vein recognition system. Our proposed method uses kernel mapping functions to map the data before performing Principal Component Analysis. Kernel Principal Component Analysis (KPCA) is a well-known extension of PCA which is suitable for finding nonlinear patterns as it maps the data nonlinearly. In this work we develop an extension of KPCA which is both faster and more appropriate than KPCA for finger vein recognition system. The proposed method is called Feature Dependent Kernel Principal Component Analysis (FDKPCA). In FDKPCA the data is mapped differently from KPCA resulting in lower-dimension feature space where more important and valuable features are selected and extracted. Furthermore, extensive experiments reveal the significance of the proposed method for finger vein recognition systems.
UR - https://www.scopus.com/pages/publications/84943195694
M3 - Conference proceeding contribution
AN - SCOPUS:84943195694
SN - 9781921770418
VL - 159
T3 - Conferences in Research and Practice in Information Technology - CRPIT
SP - 59
EP - 63
BT - Proceedings of the 38th Australasian Computer Science Conference, ACSC 2015
A2 - Parry, David
PB - Australian Computer Society
CY - Sydney
T2 - Proceedings of the 38th Australasian Computer Science Conference, ACSC 2015
Y2 - 27 January 2015 through 30 January 2015
ER -