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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition by Hamid R Arabnia, Leonidas Deligiannidis

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Chapter 25

Biometric analysis for finger vein data

Two-dimensional kernel principal component analysis

Sepehr Damavandinejadmonfared; Vijay Varadharajan    Department of Computing, Advanced Cyber Security Research Centre, Macquarie University, Sydney, New South Wales, Australia

Abstract

In this paper, a whole identification system is introduced for finger vein recognition. The proposed algorithm first maps the input data into kernel space, then; two-dimensional principal component analysis (2DPCA) is applied to extract the most valuable features from the mapped data. Finally, Euclidian distance classifies the features and the final decision is made. Because of the natural shape of human fingers, the image matrixes are not square, which makes ...

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