December 2014
Intermediate to advanced
640 pages
19h 7m
English
book
Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
by Leonidas Deligiannidis, Hamid R Arabnia
Content preview from Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
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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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